Realta Technologies Pi System Upgrade

PI System Upgrade Case Study for Pharmaceutical Manufacturing | Réalta Technologies

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PI System Upgrade Case Study for Pharmaceutical Manufacturing | Réalta Technologies

Introduction: 

Réalta Technologies recently completed a critical PI System upgrade for a leading pharmaceutical manufacturer. The project involved replacing ageing hardware and unsupported operating systems, ensuring the client’s data infrastructure met modern performance, security, and compliance standards. 

 

As a trusted partner and AVEVA Endorsed System Integrator, Réalta Technologies delivered a seamless transition to a fully upgraded system without data loss, enabling the client to continue operations without disruption and minimal downtime. 

 

The Challenge

The client’s PI System servers were operating on outdated hardware and operating systems. An upgrade-in-place was not possible due to:

  • Incompatibility with newer OS versions and software.
  • Requirement for new hardware to meet performance demands.
  • The need to keep existing servers intact for rollback in case of an issue.
  • The critical need to avoid any data loss during the transition.

These constraints required a carefully designed migration strategy that balanced operational continuity, data integrity, and validation requirements.

 

Possible Solutions

Drawing on extensive experience in industrial data infrastructure projects, Réalta Technologies identified three potential upgrade strategies:

 

Option 1: Adding New Servers to the PI Collective

  • Build new servers on new hardware and OS.
  • Add them to the existing PI System Collective.
  • Promote one of the new servers to Primary Data Archive.
  • Remove old servers once complete.

Pros: Minimal downtime, data available to users throughout.
Cons: Requires reconfiguring and restarting all interfaces, which can be time-consuming with large systems.

 

Option 2: Swapping Names and IP Addresses

  • Build new servers with temporary names.
  • Stop the PI Data Archives.
  • Swap the names/IP addresses with the old servers.
  • Restart PI Data Archives on the new hardware.

Pros: No interface reconfiguration required.
Cons: Brief downtime while archives are offline, though buffered data is restored.

 

Option 3: Building a Complete Parallel System

  • Create a fully independent system (Data Archive, AF, interface servers).
  • Restore a backup from the old system.
  • Run both systems in parallel until testing and validation are complete.

Pros: Safest approach, full validation before go-live, allows migration from Batch to Event Frames database in a controlled environment.
Cons: Requires more time, resources, and hardware.

 

Chosen Solution

After carefully reviewing all available upgrade paths, Réalta Technologies determined that Option 2: Swapping Names and IP Addresses was the most effective and efficient solution for this specific project.

 

This decision was based on our team’s in-depth understanding of both the technical requirements and the operational constraints within regulated pharmaceutical manufacturing. By applying our expertise in designing bespoke solutions, we were able to match the upgrade approach precisely to the client’s unique needs.

 

Several factors influenced our decision:

  • Minimising Disruption: The client’s PI System had multiple critical interfaces feeding data from across the site. Reconfiguring and restarting these, as required in other options, would have posed significant risk and extended downtime. Retaining the same names and IP addresses allowed us to transition to the new infrastructure seamlessly without altering the existing interface configuration.
  • Maintaining Operational Continuity: Pharmaceutical manufacturing operates under strict production and compliance demands. Swapping Names and IP Addresses enabled the upgrade to be completed within a tightly controlled maintenance window, avoiding unnecessary interruption to manufacturing activities.
  • Safeguarding Data Integrity: Our approach ensured that all data generated during the brief downtime was buffered and automatically restored to the upgraded system, protecting the accuracy and completeness of production records.
  • Bespoke Problem-Solving: Rather than applying a one-size-fits-all upgrade method, we evaluated the project holistically, balancing efficiency, safety, and compliance. Option 2 offered the best combination of speed, reliability, and risk mitigation for this particular environment.

This tailored solution is a clear example of how Réalta Technologies leverages its deep technical expertise and industry knowledge to deliver results that are both strategically sound and operationally safe, ensuring clients can modernise their systems without compromising productivity or compliance.

 

Benefits of Updating the PI System

  • Modern Infrastructure: New hardware and OS increased system performance and stability.
  • Data Integrity: All historical data retained with no loss during migration.
  • Reduced Operational Risk: Fully tested migration plan ensured predictable results.
  • Regulatory Compliance: Updated system aligned with industry best practices and supported ongoing GMP compliance.
  • Future-Ready Platform: Prepared for integration with advanced analytics, data visualisation tools, and machine learning applications.

 

Conclusion

This PI System upgrade demonstrated Réalta Technologies’ expertise in designing and executing complex data infrastructure projects for regulated industries. By selecting the optimal migration strategy and executing it flawlessly, Réalta ensured the client could continue delivering high-quality pharmaceutical products with minimal disruption.

 

As an AVEVA Endorsed System Integrator, Réalta Technologies provides tailored solutions that modernise industrial data systems while safeguarding compliance, security, and operational excellence.

 

Need help with updating your systems? Get in touch with our team.

Phone: +353 21 243 9113

Email: [email protected] 

PI System Upgrade Case Study for Pharmaceutical Manufacturing | Réalta Technologies

Introduction: 

Réalta Technologies recently completed a critical PI System upgrade for a leading pharmaceutical manufacturer. The project involved replacing ageing hardware and unsupported operating systems, ensuring the client’s data infrastructure met modern performance, security, and compliance standards. 

 

As a trusted partner and AVEVA Endorsed System Integrator, Réalta Technologies delivered a seamless transition to a fully upgraded system without data loss, enabling the client to continue operations without disruption and minimal downtime. 

 

The Challenge

The client’s PI System servers were operating on outdated hardware and operating systems. An upgrade-in-place was not possible due to:

  • Incompatibility with newer OS versions and software.
  • Requirement for new hardware to meet performance demands.
  • The need to keep existing servers intact for rollback in case of an issue.
  • The critical need to avoid any data loss during the transition.

These constraints required a carefully designed migration strategy that balanced operational continuity, data integrity, and validation requirements.

 

Possible Solutions

Drawing on extensive experience in industrial data infrastructure projects, Réalta Technologies identified three potential upgrade strategies:

 

Option 1: Adding New Servers to the PI Collective

  • Build new servers on new hardware and OS.
  • Add them to the existing PI System Collective.
  • Promote one of the new servers to Primary Data Archive.
  • Remove old servers once complete.

Pros: Minimal downtime, data available to users throughout.
Cons: Requires reconfiguring and restarting all interfaces, which can be time-consuming with large systems.

 

Option 2: Swapping Names and IP Addresses

  • Build new servers with temporary names.
  • Stop the PI Data Archives.
  • Swap the names/IP addresses with the old servers.
  • Restart PI Data Archives on the new hardware.

Pros: No interface reconfiguration required.
Cons: Brief downtime while archives are offline, though buffered data is restored.

 

Option 3: Building a Complete Parallel System

  • Create a fully independent system (Data Archive, AF, interface servers).
  • Restore a backup from the old system.
  • Run both systems in parallel until testing and validation are complete.

Pros: Safest approach, full validation before go-live, allows migration from Batch to Event Frames database in a controlled environment.
Cons: Requires more time, resources, and hardware.

 

Chosen Solution

After carefully reviewing all available upgrade paths, Réalta Technologies determined that Option 2: Swapping Names and IP Addresses was the most effective and efficient solution for this specific project.

 

This decision was based on our team’s in-depth understanding of both the technical requirements and the operational constraints within regulated pharmaceutical manufacturing. By applying our expertise in designing bespoke solutions, we were able to match the upgrade approach precisely to the client’s unique needs.

 

Several factors influenced our decision:

  • Minimising Disruption: The client’s PI System had multiple critical interfaces feeding data from across the site. Reconfiguring and restarting these, as required in other options, would have posed significant risk and extended downtime. Retaining the same names and IP addresses allowed us to transition to the new infrastructure seamlessly without altering the existing interface configuration.
  • Maintaining Operational Continuity: Pharmaceutical manufacturing operates under strict production and compliance demands. Swapping Names and IP Addresses enabled the upgrade to be completed within a tightly controlled maintenance window, avoiding unnecessary interruption to manufacturing activities.
  • Safeguarding Data Integrity: Our approach ensured that all data generated during the brief downtime was buffered and automatically restored to the upgraded system, protecting the accuracy and completeness of production records.
  • Bespoke Problem-Solving: Rather than applying a one-size-fits-all upgrade method, we evaluated the project holistically, balancing efficiency, safety, and compliance. Option 2 offered the best combination of speed, reliability, and risk mitigation for this particular environment.

This tailored solution is a clear example of how Réalta Technologies leverages its deep technical expertise and industry knowledge to deliver results that are both strategically sound and operationally safe, ensuring clients can modernise their systems without compromising productivity or compliance.

 

Benefits of Updating the PI System

  • Modern Infrastructure: New hardware and OS increased system performance and stability.
  • Data Integrity: All historical data retained with no loss during migration.
  • Reduced Operational Risk: Fully tested migration plan ensured predictable results.
  • Regulatory Compliance: Updated system aligned with industry best practices and supported ongoing GMP compliance.
  • Future-Ready Platform: Prepared for integration with advanced analytics, data visualisation tools, and machine learning applications.

 

Conclusion

This PI System upgrade demonstrated Réalta Technologies’ expertise in designing and executing complex data infrastructure projects for regulated industries. By selecting the optimal migration strategy and executing it flawlessly, Réalta ensured the client could continue delivering high-quality pharmaceutical products with minimal disruption.

 

As an AVEVA Endorsed System Integrator, Réalta Technologies provides tailored solutions that modernise industrial data systems while safeguarding compliance, security, and operational excellence.

 

Need help with updating your systems? Get in touch with our team.

Phone: +353 21 243 9113

Email: [email protected] 

PI System Upgrade Case Study for Pharmaceutical Manufacturing | Réalta Technologies Read More »

Power BI, Tableau, and SEEQ: Data Visualisation Tools for Modern Manufacturing

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Power BI, Tableau, and SEEQ: Data Visualisation Tools for Modern Manufacturing

Introduction: 

In the age of Industry 4.0, the volume of data generated in manufacturing environments continues to grow exponentially. But data alone doesn’t drive smarter decisions. It’s how you visualise and act on that data that creates real value. For companies in life sciences, pharmaceuticals, and high-volume manufacturing, choosing the right data visualisation tool is critical.

In this blog, we compare three leading tools in the space: Microsoft Power BI, Tableau, and SEEQ, examining their features, benefits, and use cases from the perspective of industrial data analytics.

 

Why Data Visualisation Matters in Manufacturing?

Before diving into the tools, it’s worth revisiting why data visualisation plays such a key role in manufacturing.

Manufacturers face constant pressure to increase yield, reduce downtime, improve compliance, and optimise performance. Data visualisation tools allow plant teams, analysts, and decision-makers to transform raw operational data into actionable insights. Whether tracking equipment efficiency or identifying production bottlenecks, the right dashboard can be the difference between reactive and proactive decision-making.

 

Power BI: Scalable, Accessible, and Microsoft-Native

Microsoft Power BI is one of the most widely used business intelligence platforms in the world. It offers deep integration with Microsoft products, scalability, and user-friendly interfaces, making it a powerful choice for companies already embedded in the Microsoft ecosystem.

 

Key Features:
  • Native integration with Excel, Azure, and SharePoint
  • Drag-and-drop dashboard creation
  • Custom DAX formulas for advanced metrics
  • Scheduled data refresh and real-time dashboards
  • Strong data modelling capabilities
Strengths:
  • Easy to adopt for teams already using Microsoft 365
  • Strong community support and regular updates
  • Affordable pricing tiers at enterprise level compared to other  visualization tools 
  • Suitable for both SME and enterprise scale
Manufacturing Use Cases:
  • OEE Dashboards: Track overall equipment effectiveness across multiple plants
  • Quality Monitoring: Monitor defect rates and identify trends
  • Supply Chain Analysis: Visualise logistics and inventory data
Limitations:
  • Can be less flexible for time-series industrial data
  • Requires additional configuration for integration with industrial historians like AVEVA PI or OSIsoft

Tableau: Powerful Visualisation and Data Exploration

Tableau is known for its visually rich dashboards and ability to handle large datasets from varied sources. It empowers users to explore data intuitively and supports custom, interactive reporting.

 

Key Features:
  • Rich data visualisation capabilities
  • Native support for many data connectors
  • Real-time data exploration and drill-downs
  • Customisable dashboards with dynamic filters
Strengths:
  • Intuitive UI for data analysts and non-technical users
  • Excellent at data storytelling and presenting complex trends
  • Highly flexible for different data sources and schemas
Manufacturing Use Cases:
  • Batch Performance Analysis: Track trends in batch processes over time
  • Energy Consumption Reporting: Visualise and compare energy usage across facilities
  • KPI Reporting Dashboards: Executive-level visual reporting across departments
Limitations:
  • Higher licensing costs than some alternatives
  • Not purpose-built for time-series industrial data
  • More suitable for data analysts than plant-floor users

SEEQ: Purpose-Built for Time-Series Industrial Data

SEEQ is designed specifically for advanced analytics in process manufacturing industries. Built to work with time-series data from historians like AVEVA PI or Canary, SEEQ enables engineers and analysts to gain insights from complex datasets quickly.

Key Features:
  • Native connectivity with AVEVA PI System, OSIsoft, and Canary
  • Purpose-built for time-series and event-based data
  • Predictive analytics and statistical modelling
  • Collaboration features for teams across functions
  • Strong integration with Jupyter for advanced data science
Strengths:
  • Ideal for engineers and process analysts
  • Handles large volumes of industrial data efficiently
  • Designed around manufacturing and life sciences workflows
  • Short time to value with minimal IT setup
Manufacturing Use Cases:
  • Process Optimisation: Identify trends and anomalies in production runs
  • Deviation Analysis: Investigate root causes of failures and off-spec product
  • Batch Comparisons: Compare equipment and material performance across runs
Limitations:
  • Not designed for traditional business metrics (e.g. finance or HR data)
  • Requires familiarity with process data structures and tag naming conventions

 

Choosing the Right Tool for Your Manufacturing Business

The best data visualisation tool depends on your organisation’s needs, data environment, and user base. Here’s a quick comparison:

Tool

Best For

Key Limitation

Power BI

Business dashboards and KPIs

Limited native support for time-series

Tableau

Visual storytelling and data exploration

Cost and complexity for industrial data

SEEQ

Advanced time-series analytics and manufacturing insights

Narrower business use cases

At Réalta Technologies, we work with clients to implement the right data visualisation solution based on their unique needs. This might be AVEVA PI paired with SEEQ for deep process insights, Tableau connected to AVEVA PI for advanced visual storytelling, or Power BI dashboards for plant-wide KPIs and reporting.

 

How Réalta Technologies Adds Value

As experts in industrial data architecture, data science, and automation, Réalta Technologies supports clients through every stage of their data journey. This includes infrastructure and historian setup, advanced analytics, and dashboard delivery.

We’ve successfully delivered SEEQ and AVEVA PI solutions across global manufacturing and life sciences clients. Our partnerships with leading technology providers and our in-house data engineering team ensure solutions that are tailored, validated, and built for real-world impact.

 

Conclusion

Data visualisation is not just about attractive dashboards. It’s about empowering teams with insights. Whether you need plant-level performance metrics, quality trends, or predictive insights, selecting the right visualisation tool is essential.

Power BI, Tableau, and SEEQ each offer distinct advantages. Understanding how they align with your infrastructure, team skillsets, and business goals helps ensure long-term value.

 

Need help selecting or implementing your data visualisation tools? Get in touch with our team.

 

Phone: +353 21 243 9113

Email: [email protected] 

Power BI, Tableau, and SEEQ: Data Visualisation Tools for Modern Manufacturing

Introduction: 

In the age of Industry 4.0, the volume of data generated in manufacturing environments continues to grow exponentially. But data alone doesn’t drive smarter decisions. It’s how you visualise and act on that data that creates real value. For companies in life sciences, pharmaceuticals, and high-volume manufacturing, choosing the right data visualisation tool is critical.

In this blog, we compare three leading tools in the space: Microsoft Power BI, Tableau, and SEEQ, examining their features, benefits, and use cases from the perspective of industrial data analytics.

 

Why Data Visualisation Matters in Manufacturing?

Before diving into the tools, it’s worth revisiting why data visualisation plays such a key role in manufacturing.

Manufacturers face constant pressure to increase yield, reduce downtime, improve compliance, and optimise performance. Data visualisation tools allow plant teams, analysts, and decision-makers to transform raw operational data into actionable insights. Whether tracking equipment efficiency or identifying production bottlenecks, the right dashboard can be the difference between reactive and proactive decision-making.

 

Power BI: Scalable, Accessible, and Microsoft-Native

Microsoft Power BI is one of the most widely used business intelligence platforms in the world. It offers deep integration with Microsoft products, scalability, and user-friendly interfaces, making it a powerful choice for companies already embedded in the Microsoft ecosystem.

 

Key Features:
  • Native integration with Excel, Azure, and SharePoint
  • Drag-and-drop dashboard creation
  • Custom DAX formulas for advanced metrics
  • Scheduled data refresh and real-time dashboards
  • Strong data modelling capabilities
Strengths:
  • Easy to adopt for teams already using Microsoft 365
  • Strong community support and regular updates
  • Affordable pricing tiers at enterprise level compared to other  visualization tools 
  • Suitable for both SME and enterprise scale
Manufacturing Use Cases:
  • OEE Dashboards: Track overall equipment effectiveness across multiple plants
  • Quality Monitoring: Monitor defect rates and identify trends
  • Supply Chain Analysis: Visualise logistics and inventory data
Limitations:
  • Can be less flexible for time-series industrial data
  • Requires additional configuration for integration with industrial historians like AVEVA PI or OSIsoft

Tableau: Powerful Visualisation and Data Exploration

Tableau is known for its visually rich dashboards and ability to handle large datasets from varied sources. It empowers users to explore data intuitively and supports custom, interactive reporting.

 

Key Features:
  • Rich data visualisation capabilities
  • Native support for many data connectors
  • Real-time data exploration and drill-downs
  • Customisable dashboards with dynamic filters
Strengths:
  • Intuitive UI for data analysts and non-technical users
  • Excellent at data storytelling and presenting complex trends
  • Highly flexible for different data sources and schemas
Manufacturing Use Cases:
  • Batch Performance Analysis: Track trends in batch processes over time
  • Energy Consumption Reporting: Visualise and compare energy usage across facilities
  • KPI Reporting Dashboards: Executive-level visual reporting across departments
Limitations:
  • Higher licensing costs than some alternatives
  • Not purpose-built for time-series industrial data
  • More suitable for data analysts than plant-floor users

SEEQ: Purpose-Built for Time-Series Industrial Data

SEEQ is designed specifically for advanced analytics in process manufacturing industries. Built to work with time-series data from historians like AVEVA PI or Canary, SEEQ enables engineers and analysts to gain insights from complex datasets quickly.

Key Features:
  • Native connectivity with AVEVA PI System, OSIsoft, and Canary
  • Purpose-built for time-series and event-based data
  • Predictive analytics and statistical modelling
  • Collaboration features for teams across functions
  • Strong integration with Jupyter for advanced data science
Strengths:
  • Ideal for engineers and process analysts
  • Handles large volumes of industrial data efficiently
  • Designed around manufacturing and life sciences workflows
  • Short time to value with minimal IT setup
Manufacturing Use Cases:
  • Process Optimisation: Identify trends and anomalies in production runs
  • Deviation Analysis: Investigate root causes of failures and off-spec product
  • Batch Comparisons: Compare equipment and material performance across runs
Limitations:
  • Not designed for traditional business metrics (e.g. finance or HR data)
  • Requires familiarity with process data structures and tag naming conventions

 

Choosing the Right Tool for Your Manufacturing Business

The best data visualisation tool depends on your organisation’s needs, data environment, and user base. Here’s a quick comparison:

Tool

Best For

Key Limitation

Power BI

Business dashboards and KPIs

Limited native support for time-series

Tableau

Visual storytelling and data exploration

Cost and complexity for industrial data

SEEQ

Advanced time-series analytics and manufacturing insights

Narrower business use cases

At Réalta Technologies, we work with clients to implement the right data visualisation solution based on their unique needs. This might be AVEVA PI paired with SEEQ for deep process insights, Tableau connected to AVEVA PI for advanced visual storytelling, or Power BI dashboards for plant-wide KPIs and reporting.

 

How Réalta Technologies Adds Value

As experts in industrial data architecture, data science, and automation, Réalta Technologies supports clients through every stage of their data journey. This includes infrastructure and historian setup, advanced analytics, and dashboard delivery.

We’ve successfully delivered SEEQ and AVEVA PI solutions across global manufacturing and life sciences clients. Our partnerships with leading technology providers and our in-house data engineering team ensure solutions that are tailored, validated, and built for real-world impact.

 

Conclusion

Data visualisation is not just about attractive dashboards. It’s about empowering teams with insights. Whether you need plant-level performance metrics, quality trends, or predictive insights, selecting the right visualisation tool is essential.

Power BI, Tableau, and SEEQ each offer distinct advantages. Understanding how they align with your infrastructure, team skillsets, and business goals helps ensure long-term value.

 

Need help selecting or implementing your data visualisation tools? Get in touch with our team.

 

Phone: +353 21 243 9113

Email: [email protected] 

Power BI, Tableau, and SEEQ: Data Visualisation Tools for Modern Manufacturing Read More »

What Is Databricks? A Modern Data Platform for Modern Businesses

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What Is Databricks? A Modern Data Platform for Modern Businesses

Introduction

Databricks is one of the most powerful and versatile platforms available for handling large-scale data analytics, machine learning, and AI workflows. Built on top of Apache Spark, it enables organisations to unify their data and AI strategies with scalable solutions tailored for speed, collaboration, and security.

As industries like life sciences, pharmaceutical manufacturing, and advanced engineering become increasingly data-rich, the need for a platform like Databricks becomes essential. At Réalta Technologies, we use Databricks to help clients unlock real-time insights, streamline operations, and make smarter, faster decisions.

What Is Databricks? 

Databricks is a cloud-based unified analytics platform designed to simplify the process of data engineering, data science, machine learning, and business intelligence. It brings together teams working with data into a single collaborative environment that supports the entire data lifecycle, from ingestion to modelling to visualisation.

It’s often described as a “lakehouse” platform, combining the best features of data lakes (scalability and flexibility) and data warehouses (structured querying and performance) in a single system.

 

 

Key Features of Databricks

 
1. Unified Workspace

Databricks enables data engineers, data scientists, and analysts to work in one collaborative environment. With shared notebooks, version control, and access management, the platform supports streamlined teamwork and knowledge sharing.

 

2. Delta Lake

Delta Lake is an open-source storage layer that brings ACID transaction capabilities to data lakes. This ensures reliability and consistency of data even as it scales.

 

3. Machine Learning & AI Integration

Databricks includes pre-built ML environments, AutoML tools, and native integrations with frameworks like TensorFlow, PyTorch, and XGBoost. This accelerates the development and deployment of machine learning models.

 

4. Optimised Apache Spark Engine

At its core, Databricks runs on Apache Spark, allowing it to process massive datasets quickly and efficiently across multiple nodes.

 

5. Scalability & Cloud Flexibility

Databricks supports multi-cloud environments and allows elastic scaling of compute resources, making it ideal for businesses with variable data workloads.

 

What Are the Benefits of Using Databricks?

Faster Time to Insight: Streamlined data pipelines and real-time processing enable teams to go from raw data to actionable insights faster.

Reduced Data Silos: By centralising your data, teams can eliminate fragmentation across departments and tools.

Improved Collaboration: A single platform for engineering, science, and analytics reduces duplication of work and fosters teamwork.

Scalability: Easily scale your workloads without overhauling infrastructure.

Cost Efficiency: With automated workflows and serverless options, Databricks helps reduce resource waste and manage costs effectively.

Security & Governance: Enterprise-grade controls for access, compliance, and data governance make it suitable for highly regulated industries.

 

Real-World Use Cases

Pharmaceutical Manufacturing

Databricks enables predictive maintenance, process optimisation, and batch analysis by aggregating data from lab systems, MES platforms, and IoT sensors. It supports compliance with regulations like 21 CFR Part 11 through robust audit trails and governance features.

 

Life Sciences R&D

Scientists and analysts can use Databricks to process large-scale genomic or clinical trial data, identify trends, and model outcomes using AI-driven methods.

 

Supply Chain Optimisation

With real-time analytics, Databricks helps monitor production rates, material availability, and logistics to support lean manufacturing strategies.

 

Predictive Quality Control

Machine learning models built in Databricks can detect early warning signs of quality deviations, allowing teams to act before products fall out of spec.

 

How Réalta Technologies Adds Value with Databricks

At Réalta Technologies, our data engineers and data scientists are experts in deploying Databricks to regulated environments. We work closely with clients in life sciences and manufacturing to:

  • Architect and implement secure, scalable Databricks environments.
  • Integrate data sources such as AVEVA PI, SCADA systems, MES, and LIMS.
  • Develop custom machine learning models for anomaly detection, predictive analytics, and process optimisation.
  • Maintain governance and compliance throughout the data lifecycle.
  • Train internal teams on best practices to make Databricks a sustainable part of their operations.

Our partnership with Databricks is a testament to the depth of experience our team brings in leveraging modern platforms to solve complex industrial challenges.

 

Conclusion

Databricks is transforming how industries harness the power of data. With its unified approach to engineering, science, and analytics, it supports innovation, efficiency, and growth at every stage of the data journey.

 

For organisations in regulated sectors, the ability to derive insights while maintaining control and compliance is essential. Réalta Technologies is proud to partner with clients to deliver intelligent, secure, and scalable solutions using Databricks.

 

Need help getting started with Databricks or optimising your existing deployment? Contact Réalta Technologies today:

Phone: +353 21 243 9113

Email: [email protected] 

 

What Is Databricks? A Modern Data Platform for Modern Businesses

Introduction

Databricks is one of the most powerful and versatile platforms available for handling large-scale data analytics, machine learning, and AI workflows. Built on top of Apache Spark, it enables organisations to unify their data and AI strategies with scalable solutions tailored for speed, collaboration, and security.

As industries like life sciences, pharmaceutical manufacturing, and advanced engineering become increasingly data-rich, the need for a platform like Databricks becomes essential. At Réalta Technologies, we use Databricks to help clients unlock real-time insights, streamline operations, and make smarter, faster decisions.

What Is Databricks? 

Databricks is a cloud-based unified analytics platform designed to simplify the process of data engineering, data science, machine learning, and business intelligence. It brings together teams working with data into a single collaborative environment that supports the entire data lifecycle, from ingestion to modelling to visualisation.

It’s often described as a “lakehouse” platform, combining the best features of data lakes (scalability and flexibility) and data warehouses (structured querying and performance) in a single system.

 

 

Key Features of Databricks

 
1. Unified Workspace

Databricks enables data engineers, data scientists, and analysts to work in one collaborative environment. With shared notebooks, version control, and access management, the platform supports streamlined teamwork and knowledge sharing.

 

2. Delta Lake

Delta Lake is an open-source storage layer that brings ACID transaction capabilities to data lakes. This ensures reliability and consistency of data even as it scales.

 

3. Machine Learning & AI Integration

Databricks includes pre-built ML environments, AutoML tools, and native integrations with frameworks like TensorFlow, PyTorch, and XGBoost. This accelerates the development and deployment of machine learning models.

 

4. Optimised Apache Spark Engine

At its core, Databricks runs on Apache Spark, allowing it to process massive datasets quickly and efficiently across multiple nodes.

 

5. Scalability & Cloud Flexibility

Databricks supports multi-cloud environments and allows elastic scaling of compute resources, making it ideal for businesses with variable data workloads.

 

What Are the Benefits of Using Databricks?

Faster Time to Insight: Streamlined data pipelines and real-time processing enable teams to go from raw data to actionable insights faster.

Reduced Data Silos: By centralising your data, teams can eliminate fragmentation across departments and tools.

Improved Collaboration: A single platform for engineering, science, and analytics reduces duplication of work and fosters teamwork.

Scalability: Easily scale your workloads without overhauling infrastructure.

Cost Efficiency: With automated workflows and serverless options, Databricks helps reduce resource waste and manage costs effectively.

Security & Governance: Enterprise-grade controls for access, compliance, and data governance make it suitable for highly regulated industries.

 

Real-World Use Cases

Pharmaceutical Manufacturing

Databricks enables predictive maintenance, process optimisation, and batch analysis by aggregating data from lab systems, MES platforms, and IoT sensors. It supports compliance with regulations like 21 CFR Part 11 through robust audit trails and governance features.

 

Life Sciences R&D

Scientists and analysts can use Databricks to process large-scale genomic or clinical trial data, identify trends, and model outcomes using AI-driven methods.

 

Supply Chain Optimisation

With real-time analytics, Databricks helps monitor production rates, material availability, and logistics to support lean manufacturing strategies.

 

Predictive Quality Control

Machine learning models built in Databricks can detect early warning signs of quality deviations, allowing teams to act before products fall out of spec.

 

How Réalta Technologies Adds Value with Databricks

At Réalta Technologies, our data engineers and data scientists are experts in deploying Databricks to regulated environments. We work closely with clients in life sciences and manufacturing to:

  • Architect and implement secure, scalable Databricks environments.
  • Integrate data sources such as AVEVA PI, SCADA systems, MES, and LIMS.
  • Develop custom machine learning models for anomaly detection, predictive analytics, and process optimisation.
  • Maintain governance and compliance throughout the data lifecycle.
  • Train internal teams on best practices to make Databricks a sustainable part of their operations.

Our partnership with Databricks is a testament to the depth of experience our team brings in leveraging modern platforms to solve complex industrial challenges.

 

Conclusion

Databricks is transforming how industries harness the power of data. With its unified approach to engineering, science, and analytics, it supports innovation, efficiency, and growth at every stage of the data journey.

 

For organisations in regulated sectors, the ability to derive insights while maintaining control and compliance is essential. Réalta Technologies is proud to partner with clients to deliver intelligent, secure, and scalable solutions using Databricks.

 

Need help getting started with Databricks or optimising your existing deployment? Contact Réalta Technologies today:

Phone: +353 21 243 9113

Email: [email protected] 

 

What Is Databricks? A Modern Data Platform for Modern Businesses Read More »

Unified Namespace (UNS)

What Is a Unified Namespace (UNS)? A Guide for Life Sciences and Manufacturing

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What Is a Unified Namespace (UNS)? A Guide for Life Sciences and Manufacturing

Introduction

The life sciences and manufacturing industries are facing a common challenge: an overwhelming amount of data scattered across siloed systems, departments, and technologies. Whether it’s sensor readings from the production floor, batch records from MES systems, or operational insights from enterprise platforms, the information exists, but accessing it in a meaningful, unified way is often difficult.

 

This is where the concept of a Unified Namespace (UNS) comes in. While the term has gained visibility in recent years, the core principles behind UNS have existed for decades, with MQTT (Message Queuing Telemetry Transport) being the latest version. As digital transformation continues to shape regulated manufacturing, UNS is fast becoming the backbone of modern industrial data architecture, enabling real-time visibility, simplifying integration, and supporting data-driven decision-making.

Unified Namespace (UNS)

What Is a Unified Namespace?

A Unified Namespace (UNS) is a structured, centralised data layer that brings together real-time information from across an entire organisation  from machines and automation systems on the plant floor to business-level applications in the cloud. It acts as the single source of truth for industrial data, organised in a hierarchical format that mirrors the physical or logical structure of the business.


Unlike traditional architectures that rely on point-to-point integrations or static data lakes, a UNS operates in real-time using event-driven communication. When a change happens on the shop floor, that update is immediately reflected across all connected systems, users, and applications that subscribe to it.


Importantly, the UNS does not store data, it is a live data layer. It acts as the medium through which systems communicate, with data either passed on directly or sent to platforms that handle storage, such as historians or cloud-based analytics systems.


How a Unified Namespace Works

At the core of a UNS is a publish-subscribe model. Instead of pulling data from each system individually, each data source (e.g., a PLC or historian) publishes updates to a central broker. Any authorised system or user can then subscribe to the topics they need, ensuring they always have access to the most current information.


Common protocols used in a UNS include MQTT (Message Queuing Telemetry Transport). MQTT is the most up to date version the most commonly used protocol for implementing a UNS. It is lightweight, efficient, and designed for high-frequency data transmission. Paired with the Sparkplug B specification, MQTT can also handle structured payloads, device state tracking, and session awareness — making it ideal for industrial environments.


The data is typically organised in a logical hierarchy such as:
Enterprise > Site > Area > Line > Machine > Tag


This makes the data not only accessible but easily understandable to humans and machines alike.


Why UNS Matters in Life Sciences and Manufacturing

For life sciences and manufacturing companies, a UNS delivers clear advantages, particularly in environments where traceability, compliance, and timely decision-making are essential.


First, it eliminates data silos, bridging the gap between Operational Technology (OT) and Information Technology (IT). This allows manufacturing, quality, compliance, and business teams to work from a shared, real-time source of data.


Second, it improves data integrity and auditability, crucial in meeting GxP regulations and standards like 21 CFR Part 11 and Annex 11. With time-stamped, structured, and traceable records, regulatory inspections and investigations become far more manageable.


Third, a UNS empowers faster and more accurate decision-making by making the right data available to the right people, in the right format, at the right time, without manual intervention or custom integrations.


Technologies Commonly Used in a UNS

A number of platforms and tools can be used to implement a UNS. These typically fall into three categories: brokers, integration platforms, and data consumers.

 

MQTT Brokers

These act as the central hub where data is published and subscribed to. Popular options include:

  • HiveMQ – A high-performance MQTT broker with robust security and enterprise-grade reliability.
  • Cybus – Designed for industrial environments, Cybus Connectware offers data governance, role-based access control, and secure connectivity.
  • Ignition MQTT Engine (by Inductive Automation) – Frequently used in conjunction with Ignition SCADA, offering full support for Sparkplug B.
MQTT Data Integration Platforms

These platforms help bridge operational systems and higher-level applications, enriching and transforming data as it moves through the UNS.

  • HighByte Intelligence Hub – A powerful industrial data operations platform designed to model, integrate, and flow data in real time between OT and IT systems, supporting both UNS and broader data strategies.
Data Consumers

The UNS itself doesn’t store data — so it must work in tandem with systems that do. This includes:

  • Data historians (like AVEVA PI, Canary, or GE Proficy)
  • Analytics platforms (Power BI, Tableau, cloud services like Azure and AWS)
  • MES, SCADA, and ERP systems that rely on real-time data to manage operations

At Réalta Technologies, we design and implement Unified Namespace architectures using these platforms and more, based on the specific needs, infrastructure, and compliance requirements of each client.


As a newly appointed AVEVA Endorsed System Integrator, Réalta Technologies brings deep expertise in building UNS architectures that are not only technically robust but validated and scalable for regulated environments.

 

The Role of the Data Historian in a Unified Namespace

Although a UNS is not responsible for storing data, data historians play a critical role within this architecture.

A historian provides the long-term storage, analysis, and visualisation capabilities that the UNS layer alone cannot deliver. It collects time-stamped process data from the UNS (or directly from devices), enabling:

  • Batch review and traceability
  • Deviation investigations
  • Regulatory audit readiness
  • Trend analysis and predictive modelling

Platforms like AVEVA PI System, Canary, and GE Proficy Historian are often integrated with UNS architectures to provide robust historical records that complement the UNS’s real-time capabilities.


At Réalta Technologies, we work across these historian platforms, ensuring seamless integration with the UNS and alignment with compliance frameworks in GMP-regulated environments.

 

Key Benefits of Implementing a UNS

Implementing a UNS delivers measurable benefits, including:

  • Real-time, unified access to plant and enterprise data, improving cross-functional collaboration
  • Faster deployment of analytics and machine learning models, as data is structured and accessible
  • Streamlined integration between legacy equipment, modern platforms, and cloud tools
  • Greater agility and scalability, with an architecture that grows with the business
  • Stronger compliance through centralised audit trails and event logging

For companies working in life sciences or regulated manufacturing, the benefits are amplified. Unified access to clean, structured data can dramatically reduce batch review times, improve deviation investigations, and support continuous improvement initiatives, all while maintaining compliance.

 

Considerations for Getting Started

Before implementing a Unified Namespace, companies should consider a few key factors:

  • Current system landscape: Are your automation and IT systems capable of publishing and subscribing to real-time data?
  • Data governance: Who needs access to what data, and what controls are needed?
  • Validation requirements: How will the UNS be documented, qualified, and maintained to meet compliance standards?
  • Scalability: Can the architecture support multiple sites, product lines, or business units?
  • Partner support: Do you have access to integration specialists with experience in building secure, validated UNS environments?

At Réalta Technologies, we offer support from design through deployment, including validation documentation, user training, and long-term managed services.

 

Conclusion

A Unified Namespace is more than a technology trend, it’s a strategic foundation for the future of digital manufacturing. In the life sciences and manufacturing sectors, where the balance between agility, compliance, and performance is critical, a UNS offers a way to unify your data landscape and unlock new value from your systems.

 

By bringing together MQTT brokers, integration platforms like HighByte, and complementary systems like AVEVA PI, a UNS allows organisations to connect their data, and their teams, in a more intelligent way.

 

If you’re considering a Unified Namespace (UNS) or want to explore how it could support your digital strategy, we’re here to help.

Phone: +353 21 243 9113

Email: [email protected]

What Is a Unified Namespace (UNS)? A Guide for Life Sciences and Manufacturing

Introduction

The life sciences and manufacturing industries are facing a common challenge: an overwhelming amount of data scattered across siloed systems, departments, and technologies. Whether it’s sensor readings from the production floor, batch records from MES systems, or operational insights from enterprise platforms, the information exists, but accessing it in a meaningful, unified way is often difficult.

 

This is where the concept of a Unified Namespace (UNS) comes in. While the term has gained visibility in recent years, the core principles behind UNS have existed for decades, with MQTT (Message Queuing Telemetry Transport) being the latest version. As digital transformation continues to shape regulated manufacturing, UNS is fast becoming the backbone of modern industrial data architecture, enabling real-time visibility, simplifying integration, and supporting data-driven decision-making.

Unified Namespace (UNS)

What Is a Unified Namespace?

A Unified Namespace (UNS) is a structured, centralised data layer that brings together real-time information from across an entire organisation  from machines and automation systems on the plant floor to business-level applications in the cloud. It acts as the single source of truth for industrial data, organised in a hierarchical format that mirrors the physical or logical structure of the business.


Unlike traditional architectures that rely on point-to-point integrations or static data lakes, a UNS operates in real-time using event-driven communication. When a change happens on the shop floor, that update is immediately reflected across all connected systems, users, and applications that subscribe to it.


Importantly, the UNS does not store data, it is a live data layer. It acts as the medium through which systems communicate, with data either passed on directly or sent to platforms that handle storage, such as historians or cloud-based analytics systems.


How a Unified Namespace Works

At the core of a UNS is a publish-subscribe model. Instead of pulling data from each system individually, each data source (e.g., a PLC or historian) publishes updates to a central broker. Any authorised system or user can then subscribe to the topics they need, ensuring they always have access to the most current information.


Common protocols used in a UNS include MQTT (Message Queuing Telemetry Transport). MQTT is the most up to date version the most commonly used protocol for implementing a UNS. It is lightweight, efficient, and designed for high-frequency data transmission. Paired with the Sparkplug B specification, MQTT can also handle structured payloads, device state tracking, and session awareness — making it ideal for industrial environments.


The data is typically organised in a logical hierarchy such as:
Enterprise > Site > Area > Line > Machine > Tag


This makes the data not only accessible but easily understandable to humans and machines alike.


Why UNS Matters in Life Sciences and Manufacturing

For life sciences and manufacturing companies, a UNS delivers clear advantages, particularly in environments where traceability, compliance, and timely decision-making are essential.


First, it eliminates data silos, bridging the gap between Operational Technology (OT) and Information Technology (IT). This allows manufacturing, quality, compliance, and business teams to work from a shared, real-time source of data.


Second, it improves data integrity and auditability, crucial in meeting GxP regulations and standards like 21 CFR Part 11 and Annex 11. With time-stamped, structured, and traceable records, regulatory inspections and investigations become far more manageable.


Third, a UNS empowers faster and more accurate decision-making by making the right data available to the right people, in the right format, at the right time, without manual intervention or custom integrations.


Technologies Commonly Used in a UNS

A number of platforms and tools can be used to implement a UNS. These typically fall into three categories: brokers, integration platforms, and data consumers.

 

MQTT Brokers

These act as the central hub where data is published and subscribed to. Popular options include:

  • HiveMQ – A high-performance MQTT broker with robust security and enterprise-grade reliability.
  • Cybus – Designed for industrial environments, Cybus Connectware offers data governance, role-based access control, and secure connectivity.
  • Ignition MQTT Engine (by Inductive Automation) – Frequently used in conjunction with Ignition SCADA, offering full support for Sparkplug B.
MQTT Data Integration Platforms

These platforms help bridge operational systems and higher-level applications, enriching and transforming data as it moves through the UNS.

  • HighByte Intelligence Hub – A powerful industrial data operations platform designed to model, integrate, and flow data in real time between OT and IT systems, supporting both UNS and broader data strategies.
Data Consumers

The UNS itself doesn’t store data — so it must work in tandem with systems that do. This includes:

  • Data historians (like AVEVA PI, Canary, or GE Proficy)
  • Analytics platforms (Power BI, Tableau, cloud services like Azure and AWS)
  • MES, SCADA, and ERP systems that rely on real-time data to manage operations

At Réalta Technologies, we design and implement Unified Namespace architectures using these platforms and more, based on the specific needs, infrastructure, and compliance requirements of each client.


As a newly appointed AVEVA Endorsed System Integrator, Réalta Technologies brings deep expertise in building UNS architectures that are not only technically robust but validated and scalable for regulated environments.

 

The Role of the Data Historian in a Unified Namespace

Although a UNS is not responsible for storing data, data historians play a critical role within this architecture.

A historian provides the long-term storage, analysis, and visualisation capabilities that the UNS layer alone cannot deliver. It collects time-stamped process data from the UNS (or directly from devices), enabling:

  • Batch review and traceability
  • Deviation investigations
  • Regulatory audit readiness
  • Trend analysis and predictive modelling

Platforms like AVEVA PI System, Canary, and GE Proficy Historian are often integrated with UNS architectures to provide robust historical records that complement the UNS’s real-time capabilities.


At Réalta Technologies, we work across these historian platforms, ensuring seamless integration with the UNS and alignment with compliance frameworks in GMP-regulated environments.

 

Key Benefits of Implementing a UNS

Implementing a UNS delivers measurable benefits, including:

  • Real-time, unified access to plant and enterprise data, improving cross-functional collaboration
  • Faster deployment of analytics and machine learning models, as data is structured and accessible
  • Streamlined integration between legacy equipment, modern platforms, and cloud tools
  • Greater agility and scalability, with an architecture that grows with the business
  • Stronger compliance through centralised audit trails and event logging

For companies working in life sciences or regulated manufacturing, the benefits are amplified. Unified access to clean, structured data can dramatically reduce batch review times, improve deviation investigations, and support continuous improvement initiatives, all while maintaining compliance.

 

Considerations for Getting Started

Before implementing a Unified Namespace, companies should consider a few key factors:

  • Current system landscape: Are your automation and IT systems capable of publishing and subscribing to real-time data?
  • Data governance: Who needs access to what data, and what controls are needed?
  • Validation requirements: How will the UNS be documented, qualified, and maintained to meet compliance standards?
  • Scalability: Can the architecture support multiple sites, product lines, or business units?
  • Partner support: Do you have access to integration specialists with experience in building secure, validated UNS environments?

At Réalta Technologies, we offer support from design through deployment, including validation documentation, user training, and long-term managed services.

 

Conclusion

A Unified Namespace is more than a technology trend, it’s a strategic foundation for the future of digital manufacturing. In the life sciences and manufacturing sectors, where the balance between agility, compliance, and performance is critical, a UNS offers a way to unify your data landscape and unlock new value from your systems.

 

By bringing together MQTT brokers, integration platforms like HighByte, and complementary systems like AVEVA PI, a UNS allows organisations to connect their data, and their teams, in a more intelligent way.

 

If you’re considering a Unified Namespace (UNS) or want to explore how it could support your digital strategy, we’re here to help.

Phone: +353 21 243 9113

Email: [email protected]

What Is a Unified Namespace (UNS)? A Guide for Life Sciences and Manufacturing Read More »

Behind the Scenes: Réalta Technologies x Munster Rugby

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Behind the Scenes: Réalta Technologies x Munster Rugby

As proud Official Data Solutions Partners to Munster Rugby, we recently had the opportunity to spend a morning at the Munster Rugby High Performance Centre for a joint photoshoot. It was a great chance to capture some of the people and moments that represent this partnership — from the players and coaching staff to members of the Réalta Technologies team. 

Our work with Munster is built on shared values of performance, precision and continuous improvement, and we’re delighted to continue supporting the team both on and off the field.

You can view some of the shots from the day below.

Behind the Scenes: Réalta Technologies x Munster Rugby

As proud Official Data Solutions Partners to Munster Rugby, we recently had the opportunity to spend a morning at the Munster Rugby High Performance Centre for a joint photoshoot. It was a great chance to capture some of the people and moments that represent this partnership — from the players and coaching staff to members of the Réalta Technologies team. 

Our work with Munster is built on shared values of performance, precision and continuous improvement, and we’re delighted to continue supporting the team both on and off the field.

You can view some of the shots from the day below.

Behind the Scenes: Réalta Technologies x Munster Rugby Read More »

Understanding the Role of Different Data Historians in the Life Sciences Industry

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Understanding the Role of Different Data Historians in the Life Sciences Industry

Introduction

In the life sciences sector, data is a core asset. Whether it’s used for ensuring regulatory compliance, improving production efficiency, or supporting innovation, the ability to capture, store, and interpret operational data is fundamental. Data historians are central to this process. These specialised software systems are designed to collect, store and manage high-frequency, time-stamped data from manufacturing equipment, automation platforms, and control systems.

 

Unlike traditional databases, data historians are built specifically for handling time-series data, making them well-suited to the demands of regulated industries like pharmaceuticals, biotechnology, and medical device manufacturing. This article explores several of the most widely used data historian platforms in the life sciences industry, including AVEVA PI, Ignition, DeltaV, Canary, and GE Proficy, and how each supports robust data analytics and operational excellence.

AVEVA PI System 

The AVEVA PI System is one of the most established and widely adopted data historians across the life sciences industry. Known for its performance, scalability, and compliance-ready design, it is a preferred solution for global pharmaceutical and biotech companies. The PI System is capable of capturing real-time data from a wide range of equipment and systems, including SCADA, PLCs, and DCS networks. It stores this data in a structured and easily retrievable format, enabling everything from process monitoring to historical batch analysis. The PI System can also retrieve batch information from Batch Execution Systems and store it in its Event Frames database.

One of its major strengths lies in its ability to contextualise data through PI Asset Framework (AF), and present it using powerful visualisation tools such as PI Vision. These features support faster root cause analysis, better deviation management, and improved process visibility. Another key strength of AVEVA PI System is its openness. Data can be retrieved from a PI System using multiple third party applications SQL queries, OPC protocol or custom code etc…

For life sciences manufacturers operating under stringent regulatory requirements, PI provides native support for 21 CFR Part 11 and EU Annex 11, including electronic signatures, audit trails, and secure user access. Its reliability and accuracy make it a valuable asset for maintaining data integrity and ensuring audit readiness.

Réalta Technologies is proud to be an Endorsed System Integrator for AVEVA. This recognition represents the highest level of AVEVA partnership and is a direct reflection of Réalta’s technical expertise, proven delivery track record, and commitment to service excellence. As an Endorsed System Integrator, Réalta Technologies delivers customised PI solutions that help life sciences companies extract maximum value from their data infrastructure, ensuring that they meet compliance needs while unlocking opportunities for innovation.

 

Ignition 

Ignition is a modern industrial application platform that includes a capable and flexible data historian module. It is valued for its open architecture, modular design, and cost-effective licensing model, which allows organisations to scale deployments without incurring exponential costs.

Ignition collects real-time data from PLCs, sensors, and devices via standard industrial protocols, storing it in an SQL-based historian for easy access and integration. It offers comprehensive scripting capabilities, API access, and dashboard development tools, making it ideal for companies looking to build custom interfaces or analytics applications.

In the context of life sciences, Ignition is increasingly being used to manage data in single-site operations or specialised production lines. It supports integration with MES platforms and other enterprise systems, enabling a more holistic view of operations. When deployed correctly, it can meet compliance needs through secure data handling, access control, and reliable data retention policies. For companies focused on agility and innovation, Ignition offers a versatile and powerful alternative to traditional historians.

 

DeltaV Continuous Historian

The DeltaV Continuous Historian is an integral component of Emerson‘s DeltaV Distributed Control System, which is widely deployed in GMP-regulated environments. The historian is designed to store time-series data from process operations, making it highly suitable for both batch and continuous manufacturing in the life sciences sector.

Its tight integration with DeltaV control hardware and software ensures a seamless experience from data capture to analysis. It simplifies system validation and provides an audit-ready platform that helps meet 21 CFR Part 11 requirements. The historian can be configured to support electronic records and signatures, secure data storage, and change control protocols, all of which are critical in regulatory audits.

DeltaV Historian is commonly used in facilities where Emerson technologies form the core of the automation architecture. Its ability to deliver reliable, structured, and compliant data storage helps life sciences companies monitor production in real time, identify issues early, and continuously optimise performance.

 

Canary Historian

The Canary Historian is a lightweight, high-performance platform designed to handle fast, efficient data logging and visualisation. It is well-suited to life sciences organisations looking for a cost-effective, easy-to-deploy solution that still meets critical performance and compliance criteria.

Canary’s design prioritises data compression and high-speed throughput without compromising data integrity. It includes native trending tools and dashboard options, reducing the need for third-party analytics platforms. This makes it especially appealing for small to mid-sized facilities or teams seeking rapid time-to-value.

While not as widely adopted in enterprise life sciences environments as AVEVA PI or DeltaV, Canary is gaining traction due to its simplicity, speed, and ease of use. It can be configured to meet the needs of regulated environments with appropriate data security and retention configurations. Its integration capabilities also allow it to function alongside larger enterprise systems as a complementary or pilot solution.

 

GE Proficy Historian

GE Proficy Historian is a well-established industrial data platform used across various manufacturing sectors, including life sciences. It is designed for rapid deployment, secure data storage, and high-speed querying. Proficy Historian can be implemented as a standalone historian or as part of GE Digital’s wider Proficy suite, which includes analytics and MES functionality.

The platform supports data collection from multiple sources, including OPC, Modbus, and proprietary protocols. It is capable of handling both structured and unstructured data, making it suitable for capturing complex production data in a regulated environment. When configured appropriately, it can support compliance with regulatory standards for electronic records, access control, and data traceability.

In life sciences, GE Proficy is often deployed in facilities that require flexibility and fast implementation. Its user-friendly interface and strong security posture make it a good option for operations looking to improve data visibility without taking on the complexity of larger systems.

 

Choosing the Right Data Historian for Life Sciences

Choosing the right data historian is a strategic decision that depends on multiple factors, each shaped by the specific needs of the facility and the wider regulatory landscape. 

Regulatory Compliance

One of the most important considerations is regulatory compliance. Life sciences companies must meet stringent data integrity and traceability requirements, so it’s crucial to select a historian that natively supports 21 CFR Part 11 and Annex 11, including features like electronic signatures, audit trails, and secure access control.

Scalability & Integration

Scalability and integration are also key. Some facilities require an enterprise-wide solution capable of collecting and contextualising data across multiple production sites, while others may only need a site-specific platform that integrates seamlessly with existing SCADA, MES, and ERP systems. The historian should also be able to support long-term growth, allowing for additional users, higher data volumes, and future integration with analytics or cloud platforms.

Ease of Use

Another important factor is ease of deployment and validation. In GMP environments, the ability to validate systems quickly and efficiently can reduce risk and shorten timelines. Some platforms, like DeltaV Historian, are tightly integrated into control systems, which can simplify the validation process.

Costs

Cost and licensing flexibility are often overlooked but can have a major impact on long-term return on investment. Platforms like Ignition are known for their modular, unlimited licensing models, while others follow more traditional licensing structures. Each model comes with its own trade-offs in terms of scalability, support, and total cost of ownership.

Capabilities & Strategy

Finally, companies must consider their internal capabilities and long-term digital strategy. Some organisations prefer out-of-the-box solutions with minimal configuration, while others benefit from platforms that allow for greater customisation through scripting, APIs, or third-party integrations.

At Réalta Technologies, we work closely with life sciences clients to evaluate all these factors and select the best-fit historian for their needs. Our platform-agnostic approach and hands-on experience with systems like AVEVA PI, Ignition, DeltaV, Canary, and Proficy ensure that we can recommend solutions that align with both operational goals and regulatory obligations.

Conclusion

Data historians are foundational to modern life sciences manufacturing. From supporting real-time visibility to enabling detailed batch analysis, they underpin many of the industry’s critical functions. As regulatory expectations and digital transformation initiatives continue to evolve, having the right historian in place — and making full use of its capabilities — is essential.

Réalta Technologies partners with clients to design, deploy and optimise data historian solutions that deliver real value. Whether you are exploring new systems or looking to get more out of your current setup, we’re here to help you turn data into decisions.

Learn more about our solutions here: https://realtatechnologies.com/services/

Or contact us to discuss your challenges, and let us tailor a solution for you. 

Phone: +353 21 243 9113

Email: [email protected]

Understanding the Role of Different Data Historians in the Life Sciences Industry

Introduction

In the life sciences sector, data is a core asset. Whether it’s used for ensuring regulatory compliance, improving production efficiency, or supporting innovation, the ability to capture, store, and interpret operational data is fundamental. Data historians are central to this process. These specialised software systems are designed to collect, store and manage high-frequency, time-stamped data from manufacturing equipment, automation platforms, and control systems.

 

Unlike traditional databases, data historians are built specifically for handling time-series data, making them well-suited to the demands of regulated industries like pharmaceuticals, biotechnology, and medical device manufacturing. This article explores several of the most widely used data historian platforms in the life sciences industry, including AVEVA PI, Ignition, DeltaV, Canary, and GE Proficy, and how each supports robust data analytics and operational excellence.

AVEVA PI System 

The AVEVA PI System is one of the most established and widely adopted data historians across the life sciences industry. Known for its performance, scalability, and compliance-ready design, it is a preferred solution for global pharmaceutical and biotech companies. The PI System is capable of capturing real-time data from a wide range of equipment and systems, including SCADA, PLCs, and DCS networks. It stores this data in a structured and easily retrievable format, enabling everything from process monitoring to historical batch analysis. The PI System can also retrieve batch information from Batch Execution Systems and store it in its Event Frames database.

One of its major strengths lies in its ability to contextualise data through PI Asset Framework (AF), and present it using powerful visualisation tools such as PI Vision. These features support faster root cause analysis, better deviation management, and improved process visibility. Another key strength of AVEVA PI System is its openness. Data can be retrieved from a PI System using multiple third party applications SQL queries, OPC protocol or custom code etc…

For life sciences manufacturers operating under stringent regulatory requirements, PI provides native support for 21 CFR Part 11 and EU Annex 11, including electronic signatures, audit trails, and secure user access. Its reliability and accuracy make it a valuable asset for maintaining data integrity and ensuring audit readiness.

Réalta Technologies is proud to be an Endorsed System Integrator for AVEVA. This recognition represents the highest level of AVEVA partnership and is a direct reflection of Réalta’s technical expertise, proven delivery track record, and commitment to service excellence. As an Endorsed System Integrator, Réalta Technologies delivers customised PI solutions that help life sciences companies extract maximum value from their data infrastructure, ensuring that they meet compliance needs while unlocking opportunities for innovation.

 

Ignition 

Ignition is a modern industrial application platform that includes a capable and flexible data historian module. It is valued for its open architecture, modular design, and cost-effective licensing model, which allows organisations to scale deployments without incurring exponential costs.

Ignition collects real-time data from PLCs, sensors, and devices via standard industrial protocols, storing it in an SQL-based historian for easy access and integration. It offers comprehensive scripting capabilities, API access, and dashboard development tools, making it ideal for companies looking to build custom interfaces or analytics applications.

In the context of life sciences, Ignition is increasingly being used to manage data in single-site operations or specialised production lines. It supports integration with MES platforms and other enterprise systems, enabling a more holistic view of operations. When deployed correctly, it can meet compliance needs through secure data handling, access control, and reliable data retention policies. For companies focused on agility and innovation, Ignition offers a versatile and powerful alternative to traditional historians.

 

DeltaV Continuous Historian

The DeltaV Continuous Historian is an integral component of Emerson‘s DeltaV Distributed Control System, which is widely deployed in GMP-regulated environments. The historian is designed to store time-series data from process operations, making it highly suitable for both batch and continuous manufacturing in the life sciences sector.

Its tight integration with DeltaV control hardware and software ensures a seamless experience from data capture to analysis. It simplifies system validation and provides an audit-ready platform that helps meet 21 CFR Part 11 requirements. The historian can be configured to support electronic records and signatures, secure data storage, and change control protocols, all of which are critical in regulatory audits.

DeltaV Historian is commonly used in facilities where Emerson technologies form the core of the automation architecture. Its ability to deliver reliable, structured, and compliant data storage helps life sciences companies monitor production in real time, identify issues early, and continuously optimise performance.

 

Canary Historian

The Canary Historian is a lightweight, high-performance platform designed to handle fast, efficient data logging and visualisation. It is well-suited to life sciences organisations looking for a cost-effective, easy-to-deploy solution that still meets critical performance and compliance criteria.

Canary’s design prioritises data compression and high-speed throughput without compromising data integrity. It includes native trending tools and dashboard options, reducing the need for third-party analytics platforms. This makes it especially appealing for small to mid-sized facilities or teams seeking rapid time-to-value.

While not as widely adopted in enterprise life sciences environments as AVEVA PI or DeltaV, Canary is gaining traction due to its simplicity, speed, and ease of use. It can be configured to meet the needs of regulated environments with appropriate data security and retention configurations. Its integration capabilities also allow it to function alongside larger enterprise systems as a complementary or pilot solution.

 

GE Proficy Historian

GE Proficy Historian is a well-established industrial data platform used across various manufacturing sectors, including life sciences. It is designed for rapid deployment, secure data storage, and high-speed querying. Proficy Historian can be implemented as a standalone historian or as part of GE Digital’s wider Proficy suite, which includes analytics and MES functionality.

The platform supports data collection from multiple sources, including OPC, Modbus, and proprietary protocols. It is capable of handling both structured and unstructured data, making it suitable for capturing complex production data in a regulated environment. When configured appropriately, it can support compliance with regulatory standards for electronic records, access control, and data traceability.

In life sciences, GE Proficy is often deployed in facilities that require flexibility and fast implementation. Its user-friendly interface and strong security posture make it a good option for operations looking to improve data visibility without taking on the complexity of larger systems.

 

Choosing the Right Data Historian for Life Sciences

Choosing the right data historian is a strategic decision that depends on multiple factors, each shaped by the specific needs of the facility and the wider regulatory landscape. 

Regulatory Compliance

One of the most important considerations is regulatory compliance. Life sciences companies must meet stringent data integrity and traceability requirements, so it’s crucial to select a historian that natively supports 21 CFR Part 11 and Annex 11, including features like electronic signatures, audit trails, and secure access control.

Scalability & Integration

Scalability and integration are also key. Some facilities require an enterprise-wide solution capable of collecting and contextualising data across multiple production sites, while others may only need a site-specific platform that integrates seamlessly with existing SCADA, MES, and ERP systems. The historian should also be able to support long-term growth, allowing for additional users, higher data volumes, and future integration with analytics or cloud platforms.

Ease of Use

Another important factor is ease of deployment and validation. In GMP environments, the ability to validate systems quickly and efficiently can reduce risk and shorten timelines. Some platforms, like DeltaV Historian, are tightly integrated into control systems, which can simplify the validation process.

Costs

Cost and licensing flexibility are often overlooked but can have a major impact on long-term return on investment. Platforms like Ignition are known for their modular, unlimited licensing models, while others follow more traditional licensing structures. Each model comes with its own trade-offs in terms of scalability, support, and total cost of ownership.

Capabilities & Strategy

Finally, companies must consider their internal capabilities and long-term digital strategy. Some organisations prefer out-of-the-box solutions with minimal configuration, while others benefit from platforms that allow for greater customisation through scripting, APIs, or third-party integrations.

At Réalta Technologies, we work closely with life sciences clients to evaluate all these factors and select the best-fit historian for their needs. Our platform-agnostic approach and hands-on experience with systems like AVEVA PI, Ignition, DeltaV, Canary, and Proficy ensure that we can recommend solutions that align with both operational goals and regulatory obligations.

Conclusion

Data historians are foundational to modern life sciences manufacturing. From supporting real-time visibility to enabling detailed batch analysis, they underpin many of the industry’s critical functions. As regulatory expectations and digital transformation initiatives continue to evolve, having the right historian in place — and making full use of its capabilities — is essential.

Réalta Technologies partners with clients to design, deploy and optimise data historian solutions that deliver real value. Whether you are exploring new systems or looking to get more out of your current setup, we’re here to help you turn data into decisions.

Learn more about our solutions here: https://realtatechnologies.com/services/

Or contact us to discuss your challenges, and let us tailor a solution for you. 

Phone: +353 21 243 9113

Email: [email protected]

Understanding the Role of Different Data Historians in the Life Sciences Industry Read More »

Methods to Ensure Data Integrity in a Digitised Manufacturing Environment

Blog / By

Methods to Ensure Data Integrity in a Digitised Manufacturing Environment

Introduction

Ensuring data integrity in manufacturing is essential for regulatory compliance, product quality, and operational efficiency. As the industry moves towards digitisation and automation, manufacturers must implement secure data management practices to meet the stringent requirements of FDA 21 CFR Part 11, GxP standards, and Good Manufacturing Practices (GMP).

With the rise of Industry 4.0, AI-driven analytics, and real-time data monitoring, organisations must adopt advanced data integrity solutions to prevent errors, eliminate data manipulation, and ensure compliance with global regulations.

This blog, written by industry experts at Realta Technologies, explores key strategies, best practices, and cutting-edge technologies to maintain data integrity in pharmaceutical, biotech, and industrial manufacturing environments.

 

What is Data Integrity in Manufacturing?

Data integrity refers to the accuracy, consistency, and reliability of electronic records throughout their lifecycle. It ensures that manufacturing data remains secure, unaltered, and audit-ready, minimising compliance risks.

In the pharmaceutical and biotech industries, data integrity aligns with ALCOA+ principles to ensure that data is:

  • Attributable – Clearly linked to the individual responsible for data entry.
  • Legible – Stored in a readable format that remains accessible over time.
  • Contemporaneous – Recorded in real-time without delays.
  • Original – Maintained in its raw, unaltered format.
  • Accurate – Free from errors, unauthorised changes, or falsifications.

Failure to maintain data integrity can result in FDA warning letters, regulatory fines, and product recalls, making compliance-critical industries highly dependent on robust data management systems.

Key Regulatory Requirements for Data Integrity

FDA 21 CFR Part 11 – Compliance for Electronic Records & Signatures

The FDA 21 CFR Part 11 regulation governs the use of electronic records and digital signatures in regulated industries. It requires:

  • Secure data storage with access controls.

  • Audit trails to track modifications.

  • Data validation to ensure authenticity and accuracy.

  • Electronic signatures for secure approvals and regulatory submissions.

GxP (Good x Practices) – Global Compliance Framework

GxP standards (such as GMP, GCP, and GDP) outline good manufacturing, clinical, and distribution practices to ensure product safety, efficacy, and quality. These require:

  • Validated systems for collecting, storing, and analysing data.

  • Change control policies to track modifications.

  • Audit-ready documentation for regulatory inspections.

Companies that fail to comply with these standards risk regulatory penalties, production halts, and damage to brand reputation.

 

Best Practices for Ensuring Data Integrity in Manufacturing

 

1. Implementing Secure and Validated Data Management Systems

To maintain compliance, manufacturers must use validated digital solutions to collect, process, and store data.

  • Data historians like AVEVA PI System ensure centralised, secure, and real-time data storage.

  • Manufacturing Execution Systems (MES) integration prevents manual data entry errors.

  • Access control protocols restrict unauthorised modifications.

Example: A pharmaceutical company using AVEVA PI to collect batch data ensures that only authorised personnel can modify or approve records, preventing data tampering.

 

2. Establishing Automated Audit Trails & Electronic Batch Records (EBRs)

Automated audit trails improve data transparency by tracking every modification in manufacturing and quality control systems.

  • Electronic batch records (EBRs) replace paper documentation, ensuring regulatory compliance.

  • Automated change logs help identify discrepancies in data entry.

  • Real-time alerts detect anomalies in production data.

Example: A biotech firm adopting Syncade MES for batch reporting uses automated exception tracking, allowing quality teams to focus only on critical deviations.

 

3. Connecting Standalone Systems to the Manufacturing OT Network

Many manufacturing environments still operate standalone, isolated systems that are not networked into the wider Operational Technology (OT) infrastructure. These islands of automation create data integrity risks due to manual processes, lack of backups, and limited security controls.

Integrating these standalone systems into an OT network significantly enhances data integrity, security, and compliance. Key advantages include:

  • User Management via Domain Active Directory and Windows Integrated Security

    • Standardised access control with centralised user authentication.

    • Reduces risks of unauthorised system modifications.

    • Improves regulatory compliance with secure login credentials.

  • Automated Data Collection

    • Eliminates manual data entry errors.

    • Ensures real-time tracking of critical manufacturing parameters.

    • Enhances reporting accuracy for regulatory audits.

  • Automated System Backups

    • Prevents data loss due to system failures or cyber threats.

    • Ensures data redundancy for compliance and business continuity.

  • Disaster Recovery and Business Continuity

    • Enables rapid recovery of manufacturing data in case of hardware failure or security breaches.

    • Ensures minimal downtime and regulatory compliance.

4. Integrating Digital Manufacturing Systems for Seamless Data Flow

To ensure complete traceability, manufacturers must integrate SCADA, MES, ERP, and IoT platforms for seamless data exchange.

  • OPC UA, MQTT, and BACNet protocols support real-time data transmission.

  • Cloud-based manufacturing solutions enable remote monitoring.

  • Automated data reconciliation minimises human intervention.

5. Training Employees on Data Security & Compliance

Regular training ensures that staff understand data security protocols and regulatory compliance requirements.

  • Quarterly compliance training sessions reinforce best practices.

  • Standard Operating Procedures (SOPs) outline data entry and validation processes.

  • Internal audits assess adherence to ALCOA+ principles.

Example: A biotech firm conducts quarterly data integrity training, reducing compliance errors by 30% over a year.

 

How Realta Technologies Helps You Ensure Data Integrity

At Realta Technologies, we specialise in implementing data integrity solutions tailored for pharma, biotech, and regulated manufacturing environments.

 

Our Expertise Includes:

  • AVEVA PI System & Data Historians – Secure storage and real-time access to process data.

  • MES & ERP Integrations – Seamless data flow between manufacturing systems.

  • Electronic Batch Records (EBRs) – Automated batch reporting with audit trails.

  • Data Analytics & Predictive Quality Control – Advanced monitoring using PowerBI & SEEQ.

  • Regulatory Compliance Support – Ensuring adherence to FDA 21 CFR Part 11 and GxP standards.

By working with Realta Technologies, manufacturers can ensure compliance, improve data security, and enhance operational efficiency.

Contact Realta Technologies today to discuss how we can help strengthen your data integrity strategy.

 

Conclusion

Data integrity is a critical factor in modern manufacturing, ensuring compliance with regulatory standards and improving product quality. By implementing secure digital systems, predictive analytics, and AI-driven automation, manufacturers can prevent compliance failures and data inconsistencies.

 

Realta Technologies provides the expertise, tools, and solutions required to establish audit-ready, high-integrity data systems for pharmaceutical, biotech, and industrial manufacturing sectors.

 

Learn more about our solutions here: https://realtatechnologies.com/services/

Ensure your manufacturing data meets the highest standards of integrity and compliance. Contact Réalta Technologies today for expert solutions that give you complete peace of mind in regulatory compliance and data security:

 

Phone: +353 21 243 9113

Email: [email protected]

Methods to Ensure Data Integrity in a Digitised Manufacturing Environment

Introduction

Ensuring data integrity in manufacturing is essential for regulatory compliance, product quality, and operational efficiency. As the industry moves towards digitisation and automation, manufacturers must implement secure data management practices to meet the stringent requirements of FDA 21 CFR Part 11, GxP standards, and Good Manufacturing Practices (GMP).

With the rise of Industry 4.0, AI-driven analytics, and real-time data monitoring, organisations must adopt advanced data integrity solutions to prevent errors, eliminate data manipulation, and ensure compliance with global regulations.

This blog, written by industry experts at Realta Technologies, explores key strategies, best practices, and cutting-edge technologies to maintain data integrity in pharmaceutical, biotech, and industrial manufacturing environments.

 

What is Data Integrity in Manufacturing?

Data integrity refers to the accuracy, consistency, and reliability of electronic records throughout their lifecycle. It ensures that manufacturing data remains secure, unaltered, and audit-ready, minimising compliance risks.

In the pharmaceutical and biotech industries, data integrity aligns with ALCOA+ principles to ensure that data is:

  • Attributable – Clearly linked to the individual responsible for data entry.
  • Legible – Stored in a readable format that remains accessible over time.
  • Contemporaneous – Recorded in real-time without delays.
  • Original – Maintained in its raw, unaltered format.
  • Accurate – Free from errors, unauthorised changes, or falsifications.

Failure to maintain data integrity can result in FDA warning letters, regulatory fines, and product recalls, making compliance-critical industries highly dependent on robust data management systems.

Key Regulatory Requirements for Data Integrity

FDA 21 CFR Part 11 – Compliance for Electronic Records & Signatures

The FDA 21 CFR Part 11 regulation governs the use of electronic records and digital signatures in regulated industries. It requires:

  • Secure data storage with access controls.

  • Audit trails to track modifications.

  • Data validation to ensure authenticity and accuracy.

  • Electronic signatures for secure approvals and regulatory submissions.

GxP (Good x Practices) – Global Compliance Framework

GxP standards (such as GMP, GCP, and GDP) outline good manufacturing, clinical, and distribution practices to ensure product safety, efficacy, and quality. These require:

  • Validated systems for collecting, storing, and analysing data.

  • Change control policies to track modifications.

  • Audit-ready documentation for regulatory inspections.

Companies that fail to comply with these standards risk regulatory penalties, production halts, and damage to brand reputation.

 

Best Practices for Ensuring Data Integrity in Manufacturing

 

1. Implementing Secure and Validated Data Management Systems

To maintain compliance, manufacturers must use validated digital solutions to collect, process, and store data.

  • Data historians like AVEVA PI System ensure centralised, secure, and real-time data storage.

  • Manufacturing Execution Systems (MES) integration prevents manual data entry errors.

  • Access control protocols restrict unauthorised modifications.

Example: A pharmaceutical company using AVEVA PI to collect batch data ensures that only authorised personnel can modify or approve records, preventing data tampering.

 

2. Establishing Automated Audit Trails & Electronic Batch Records (EBRs)

Automated audit trails improve data transparency by tracking every modification in manufacturing and quality control systems.

  • Electronic batch records (EBRs) replace paper documentation, ensuring regulatory compliance.

  • Automated change logs help identify discrepancies in data entry.

  • Real-time alerts detect anomalies in production data.

Example: A biotech firm adopting Syncade MES for batch reporting uses automated exception tracking, allowing quality teams to focus only on critical deviations.

 

3. Connecting Standalone Systems to the Manufacturing OT Network

Many manufacturing environments still operate standalone, isolated systems that are not networked into the wider Operational Technology (OT) infrastructure. These islands of automation create data integrity risks due to manual processes, lack of backups, and limited security controls.

Integrating these standalone systems into an OT network significantly enhances data integrity, security, and compliance. Key advantages include:

  • User Management via Domain Active Directory and Windows Integrated Security

    • Standardised access control with centralised user authentication.

    • Reduces risks of unauthorised system modifications.

    • Improves regulatory compliance with secure login credentials.

  • Automated Data Collection

    • Eliminates manual data entry errors.

    • Ensures real-time tracking of critical manufacturing parameters.

    • Enhances reporting accuracy for regulatory audits.

  • Automated System Backups

    • Prevents data loss due to system failures or cyber threats.

    • Ensures data redundancy for compliance and business continuity.

  • Disaster Recovery and Business Continuity

    • Enables rapid recovery of manufacturing data in case of hardware failure or security breaches.

    • Ensures minimal downtime and regulatory compliance.

4. Integrating Digital Manufacturing Systems for Seamless Data Flow

To ensure complete traceability, manufacturers must integrate SCADA, MES, ERP, and IoT platforms for seamless data exchange.

  • OPC UA, MQTT, and BACNet protocols support real-time data transmission.

  • Cloud-based manufacturing solutions enable remote monitoring.

  • Automated data reconciliation minimises human intervention.

5. Training Employees on Data Security & Compliance

Regular training ensures that staff understand data security protocols and regulatory compliance requirements.

  • Quarterly compliance training sessions reinforce best practices.

  • Standard Operating Procedures (SOPs) outline data entry and validation processes.

  • Internal audits assess adherence to ALCOA+ principles.

Example: A biotech firm conducts quarterly data integrity training, reducing compliance errors by 30% over a year.

 

How Realta Technologies Helps You Ensure Data Integrity

At Realta Technologies, we specialise in implementing data integrity solutions tailored for pharma, biotech, and regulated manufacturing environments.

 

Our Expertise Includes:

  • AVEVA PI System & Data Historians – Secure storage and real-time access to process data.

  • MES & ERP Integrations – Seamless data flow between manufacturing systems.

  • Electronic Batch Records (EBRs) – Automated batch reporting with audit trails.

  • Data Analytics & Predictive Quality Control – Advanced monitoring using PowerBI & SEEQ.

  • Regulatory Compliance Support – Ensuring adherence to FDA 21 CFR Part 11 and GxP standards.

By working with Realta Technologies, manufacturers can ensure compliance, improve data security, and enhance operational efficiency.

Contact Realta Technologies today to discuss how we can help strengthen your data integrity strategy.

 

Conclusion

Data integrity is a critical factor in modern manufacturing, ensuring compliance with regulatory standards and improving product quality. By implementing secure digital systems, predictive analytics, and AI-driven automation, manufacturers can prevent compliance failures and data inconsistencies.

 

Realta Technologies provides the expertise, tools, and solutions required to establish audit-ready, high-integrity data systems for pharmaceutical, biotech, and industrial manufacturing sectors.

 

Learn more about our solutions here: https://realtatechnologies.com/services/

Ensure your manufacturing data meets the highest standards of integrity and compliance. Contact Réalta Technologies today for expert solutions that give you complete peace of mind in regulatory compliance and data security:

 

Phone: +353 21 243 9113

Email: [email protected]

Methods to Ensure Data Integrity in a Digitised Manufacturing Environment Read More »

AVEVA Connect: Transforming Industrial Data Management with Realta Technologies.

Blog / By

AVEVA Connect: Transforming Industrial Data Management with Realta Technologies.

Introduction

The industrial world is rapidly evolving, and businesses need efficient, scalable, and secure solutions to manage their vast amounts of operational data. AVEVA Connect is one of the most powerful cloud-based platforms for industrial data management, offering a unified solution for integrating, analysing, and visualising data across an enterprise.

By enabling seamless data access, collaboration, and analytics, AVEVA Connect empowers companies to optimise their operations and accelerate their digital transformation efforts.

In this blog, we will explore:
 1. What AVEVA Connect is and how it works
 2. Key benefits of using AVEVA Connect
 3. Example use cases across industries
 4. How Realta Technologies can help businesses leverage AVEVA Connect for better data management and efficiency.

 

What is AVEVA Connect?

AVEVA Connect is a cloud-based industrial platform that enables organisations to store, integrate, and analyse data from multiple sources in one centralised system. It is designed to help manufacturers, energy companies, and industrial enterprises make data-driven decisions by providing real-time visibility and collaboration across teams.

 

How It Works;

AVEVA Connect acts as a digital hub, allowing businesses to:

  • Securely store and access operational and historical data from anywhere.
  • Integrate multiple data sources such as SCADA, PLCs, IoT devices, and enterprise systems.
  • Analyse and visualise data with powerful analytics tools.
  • Enhance collaboration by enabling teams to access and share data in real time.

AVEVA Connect supports various AVEVA applications such as AVEVA PI System, AVEVA Insight, and AVEVA Edge, making it a flexible and scalable cloud solution for industrial businesses.

Key Benefits of AVEVA Connect

 
1. Centralised & Secure Data Management

AVEVA Connect allows businesses to centralise all their industrial data in a secure cloud environment, reducing the risk of data silos and ensuring accessibility across teams and locations.

  • Eliminates on-premise storage limitations
  • Secure cloud hosting with built-in compliance features
  • Reduces IT infrastructure costs
2. Seamless Integration with Existing Systems

One of AVEVA Connect’s biggest advantages is its ability to integrate seamlessly with existing industrial systems, such as:

  • SCADA and HMI Systems (Supervisory Control and Data Acquisition)
  • PLCs and Industrial IoT Devices
  • Manufacturing Execution Systems (MES)
  • ERP & Business Intelligence Tools

This ensures that businesses can consolidate and analyse all relevant data in one place, making operations more efficient and data-driven.

3. Real-Time Insights for Smarter Decision-Making

With AVEVA Connect, businesses can leverage real-time analytics to monitor key performance indicators (KPIs) and make informed decisions.

  • Predictive analytics for equipment health monitoring
  • Real-time dashboards to track production efficiency
  • Historical trend analysis to improve process optimisation
4. Improved Collaboration & Remote Access

With cloud-based access, teams across different locations can collaborate effectively. This is especially beneficial for:

  • Multi-site manufacturers
  • Remote monitoring of industrial operations
  • Global teams needing shared access to critical data

By breaking down data silos, AVEVA Connect enhances productivity and collaboration across departments.

5. Scalable & Future-Proof Solution

AVEVA Connect is designed to scale, meaning businesses can start with basic data integration and expand to advanced analytics and AI-powered automation as they grow.

  • Flexible licensing models allow businesses to scale usage based on needs.
  • Supports digital transformation strategies by integrating with Industry 4.0 technologies.

Example Use Cases of AVEVA Connect

 
Manufacturing Optimisation

A global manufacturing company uses AVEVA Connect to:
– Integrate real-time production data from multiple sites.
– Improve quality control through predictive analytics.
– Reduce unplanned downtime by 30% with predictive maintenance insights.

Energy & Utilities – Remote Asset Monitoring

An energy company leverages AVEVA Connect to:
– Monitor power plant performance remotely.
– Optimise energy efficiency through data-driven insights.
– Ensure regulatory compliance with automated reporting.

Life Sciences & Pharma – Compliance & Data Integrity

A pharmaceutical manufacturer uses AVEVA Connect to:
– Centralise batch processing data for regulatory compliance.
– Automate data integrity checks to ensure product quality.
-Reduce manual errors and accelerate reporting.

How AVEVA Connect Fits into the Larger AVEVA and Realta Technologies Ecosystem

While AVEVA Connect is a powerful cloud-based solution, it is just one piece of a larger puzzle. Businesses looking for a comprehensive approach to data-driven decision-making can benefit from the entire AVEVA ecosystem, including:

AVEVA PI System
  • AVEVA PI System (formerly OSIsoft PI System) is one of the most widely used data historians in industrial settings.
  • It collects, stores, and analyses time-series data from industrial equipment, helping businesses gain real-time insights into operations.
  • AVEVA Connect enhances the PI System by providing cloud-based accessibility and advanced analytics tools for deeper insights.
AVEVA Insight & Edge
  • AVEVA Insight delivers AI-powered analytics for industrial data.
  • AVEVA Edge allows businesses to monitor and control operations from remote locations.
  • Together with AVEVA Connect, they provide a full-stack industrial data management solution.
Realta Technologies’ Expertise in AVEVA Solutions

At Realta Technologies, we integrate, customise, and optimise AVEVA Connect alongside PI System, Insight, and Edge, ensuring:

  1. Seamless data flow from on-premise to cloud
  2. Advanced analytics dashboards tailored to your needs
  3. Optimised data storage and retrieval for improved performance

With our expertise, businesses can leverage AVEVA Connect as part of a larger industrial data strategy, ensuring greater efficiency, better insights, and long-term scalability.

How Réalta Technologies can Help You Leverage Aveva Connect:

At Realta Technologies, we specialise in helping businesses implement, integrate, and optimise AVEVA Connect for better data management, efficiency, and collaboration.

Our Services Include:
 

🔹 Seamless Integration with Existing Systems
We ensure smooth connectivity between AVEVA Connect and your existing industrial systems (SCADA, PLCs, MES, ERP, and IoT devices).

🔹 Custom Dashboards & Analytics
Our experts configure custom dashboards using AVEVA PI Vision, PowerBI, and Tableau, providing real-time insights tailored to your operations.

🔹 Data Security & Compliance
We help you implement best practices for data security, cloud storage, and compliance with industry regulations (e.g., FDA 21 CFR Part 11, ISO 27001).

🔹 Ongoing Support & Optimisation
From training teams to enhancing workflows, Realta Technologies provides continuous support to maximise your investment in AVEVA Connect.

Conclusion

AVEVA Connect is a powerful tool that enables businesses to unlock the full potential of their industrial data. By centralising data, enabling real-time analytics, and improving collaboration, it drives efficiency and smarter decision-making.

At Realta Technologies, we help companies implement and optimise AVEVA Connect to streamline operations, enhance productivity, and future-proof their business. 

If you want to learn more about how we can help you, contact us today:

Phone: +353 21 243 9113

Email: [email protected] 

AVEVA Connect: Transforming Industrial Data Management with Realta Technologies.

Introduction

The industrial world is rapidly evolving, and businesses need efficient, scalable, and secure solutions to manage their vast amounts of operational data. AVEVA Connect is one of the most powerful cloud-based platforms for industrial data management, offering a unified solution for integrating, analysing, and visualising data across an enterprise.

By enabling seamless data access, collaboration, and analytics, AVEVA Connect empowers companies to optimise their operations and accelerate their digital transformation efforts.

In this blog, we will explore:
 1. What AVEVA Connect is and how it works
 2. Key benefits of using AVEVA Connect
 3. Example use cases across industries
 4. How Realta Technologies can help businesses leverage AVEVA Connect for better data management and efficiency.

 

What is AVEVA Connect?

AVEVA Connect is a cloud-based industrial platform that enables organisations to store, integrate, and analyse data from multiple sources in one centralised system. It is designed to help manufacturers, energy companies, and industrial enterprises make data-driven decisions by providing real-time visibility and collaboration across teams.

 

How It Works;

AVEVA Connect acts as a digital hub, allowing businesses to:

  • Securely store and access operational and historical data from anywhere.
  • Integrate multiple data sources such as SCADA, PLCs, IoT devices, and enterprise systems.
  • Analyse and visualise data with powerful analytics tools.
  • Enhance collaboration by enabling teams to access and share data in real time.

AVEVA Connect supports various AVEVA applications such as AVEVA PI System, AVEVA Insight, and AVEVA Edge, making it a flexible and scalable cloud solution for industrial businesses.

Key Benefits of AVEVA Connect

 
1. Centralised & Secure Data Management

AVEVA Connect allows businesses to centralise all their industrial data in a secure cloud environment, reducing the risk of data silos and ensuring accessibility across teams and locations.

  • Eliminates on-premise storage limitations
  • Secure cloud hosting with built-in compliance features
  • Reduces IT infrastructure costs
2. Seamless Integration with Existing Systems

One of AVEVA Connect’s biggest advantages is its ability to integrate seamlessly with existing industrial systems, such as:

  • SCADA and HMI Systems (Supervisory Control and Data Acquisition)
  • PLCs and Industrial IoT Devices
  • Manufacturing Execution Systems (MES)
  • ERP & Business Intelligence Tools

This ensures that businesses can consolidate and analyse all relevant data in one place, making operations more efficient and data-driven.

3. Real-Time Insights for Smarter Decision-Making

With AVEVA Connect, businesses can leverage real-time analytics to monitor key performance indicators (KPIs) and make informed decisions.

  • Predictive analytics for equipment health monitoring
  • Real-time dashboards to track production efficiency
  • Historical trend analysis to improve process optimisation
4. Improved Collaboration & Remote Access

With cloud-based access, teams across different locations can collaborate effectively. This is especially beneficial for:

  • Multi-site manufacturers
  • Remote monitoring of industrial operations
  • Global teams needing shared access to critical data

By breaking down data silos, AVEVA Connect enhances productivity and collaboration across departments.

5. Scalable & Future-Proof Solution

AVEVA Connect is designed to scale, meaning businesses can start with basic data integration and expand to advanced analytics and AI-powered automation as they grow.

  • Flexible licensing models allow businesses to scale usage based on needs.
  • Supports digital transformation strategies by integrating with Industry 4.0 technologies.

Example Use Cases of AVEVA Connect

 
Manufacturing Optimisation

A global manufacturing company uses AVEVA Connect to:
– Integrate real-time production data from multiple sites.
– Improve quality control through predictive analytics.
– Reduce unplanned downtime by 30% with predictive maintenance insights.

Energy & Utilities – Remote Asset Monitoring

An energy company leverages AVEVA Connect to:
– Monitor power plant performance remotely.
– Optimise energy efficiency through data-driven insights.
– Ensure regulatory compliance with automated reporting.

Life Sciences & Pharma – Compliance & Data Integrity

A pharmaceutical manufacturer uses AVEVA Connect to:
– Centralise batch processing data for regulatory compliance.
– Automate data integrity checks to ensure product quality.
-Reduce manual errors and accelerate reporting.

How AVEVA Connect Fits into the Larger AVEVA and Realta Technologies Ecosystem

While AVEVA Connect is a powerful cloud-based solution, it is just one piece of a larger puzzle. Businesses looking for a comprehensive approach to data-driven decision-making can benefit from the entire AVEVA ecosystem, including:

AVEVA PI System
  • AVEVA PI System (formerly OSIsoft PI System) is one of the most widely used data historians in industrial settings.
  • It collects, stores, and analyses time-series data from industrial equipment, helping businesses gain real-time insights into operations.
  • AVEVA Connect enhances the PI System by providing cloud-based accessibility and advanced analytics tools for deeper insights.
AVEVA Insight & Edge
  • AVEVA Insight delivers AI-powered analytics for industrial data.
  • AVEVA Edge allows businesses to monitor and control operations from remote locations.
  • Together with AVEVA Connect, they provide a full-stack industrial data management solution.
Realta Technologies’ Expertise in AVEVA Solutions

At Realta Technologies, we integrate, customise, and optimise AVEVA Connect alongside PI System, Insight, and Edge, ensuring:

  1. Seamless data flow from on-premise to cloud
  2. Advanced analytics dashboards tailored to your needs
  3. Optimised data storage and retrieval for improved performance

With our expertise, businesses can leverage AVEVA Connect as part of a larger industrial data strategy, ensuring greater efficiency, better insights, and long-term scalability.

How Réalta Technologies can Help You Leverage Aveva Connect:

At Realta Technologies, we specialise in helping businesses implement, integrate, and optimise AVEVA Connect for better data management, efficiency, and collaboration.

Our Services Include:
 

🔹 Seamless Integration with Existing Systems
We ensure smooth connectivity between AVEVA Connect and your existing industrial systems (SCADA, PLCs, MES, ERP, and IoT devices).

🔹 Custom Dashboards & Analytics
Our experts configure custom dashboards using AVEVA PI Vision, PowerBI, and Tableau, providing real-time insights tailored to your operations.

🔹 Data Security & Compliance
We help you implement best practices for data security, cloud storage, and compliance with industry regulations (e.g., FDA 21 CFR Part 11, ISO 27001).

🔹 Ongoing Support & Optimisation
From training teams to enhancing workflows, Realta Technologies provides continuous support to maximise your investment in AVEVA Connect.

Conclusion

AVEVA Connect is a powerful tool that enables businesses to unlock the full potential of their industrial data. By centralising data, enabling real-time analytics, and improving collaboration, it drives efficiency and smarter decision-making.

At Realta Technologies, we help companies implement and optimise AVEVA Connect to streamline operations, enhance productivity, and future-proof their business. 

If you want to learn more about how we can help you, contact us today:

Phone: +353 21 243 9113

Email: [email protected] 

AVEVA Connect: Transforming Industrial Data Management with Realta Technologies. Read More »

Market Trends 2025: Navigating Resource Placements and Offshore Rates in Life Sciences and Manufacturing.

Blog / By

Market Trends 2025: Navigating Resource Placements and Offshore Rates in Life Sciences and Manufacturing.

Introduction

In 2025, resource placements and offshore strategies are facing a transformation. Driven by rapid globalisation, labor cost fluctuations, and the rise of automation, businesses in the life sciences and manufacturing sectors must adapt to a dynamic landscape.

According to a Deloitte report, nearly 70% of manufacturing executives rank workforce challenges among their top business concerns, with labor shortages and rising costs being the key drivers. At the same time, the global offshore outsourcing market is projected to grow to $620 billion by 2030, indicating a strong shift toward offshore talent solutions.

As companies navigate these trends, adopting data-driven workforce strategies will be crucial for maintaining competitiveness. In this blog, we explore the key market dynamics influencing resource placements and offshore rates in 2025 and provide actionable strategies to help businesses adapt.

 

Market Dynamics Influencing Resource Placements in 2025

 
1. Fluctuating Labor Costs Across Regions

Labor cost disparities across the globe remain a significant factor in resource placements. While countries like Indiacontinue to offer cost-effective options, inflation and economic growth in these regions are pushing wages upward.

  • Statistics:
    • According to Statista, India’s average wages in IT services grew by 10% between 2015 and 2023.
    • Eastern Europe is emerging as a strong alternative for technical talent, offering rates 20-30% lower than Western Europe while maintaining high quality.
  • Trend Insight:
    Businesses are diversifying their offshore strategies, moving beyond traditional regions like India to emerging hubs such as Poland, Bulgaria, and Malaysia.
2. The Growing Importance of Skilled Talent

The life sciences and manufacturing industries are becoming increasingly data-driven, requiring expertise in fields like data analytics, automation, and regulatory compliance. However, the global talent pool for these high-skill roles is tightening.

  • Statistics:
    • A Korn Ferry report predicts a global shortage of more than 85 million skilled workers by 2030, leading to potential losses of $8.5 trillion in unrealised revenue.
    • 50% of manufacturing jobs in advanced fields, such as AI and automation, are expected to remain unfilled in 2025 due to skill gaps.
  • Trend Insight:
    Companies are investing in upskilling programs and leveraging hybrid teams that combine local expertise with remote or offshore support to bridge the talent gap.
3. Remote Work Expands Global Hiring Options

The shift to remote work has expanded the talent pool for many organisations. Companies can now hire skilled professionals from anywhere, reducing dependency on local labor markets.

  • Statistics:
    • Gartner reports that 32% of manufacturing companies now offer remote or hybrid work models for non-plant roles, up from just 8% pre-2020.
    • Tools like Microsoft Teams, Slack, and cloud-based ERP systems have seen adoption rates in manufacturing increase by 40% over the past three years.
  • Trend Insight:
    Businesses are increasingly building distributed teams that operate seamlessly across time zones, leveraging remote work technology to improve collaboration and efficiency.
4. Evolving Regulatory and Compliance Challenges

Globalisation and offshore placements bring increased scrutiny regarding labor laws, tax regulations, and data privacy compliance. Navigating these regulations requires businesses to be proactive in managing risks.

  • Statistics:
    • Over 70 countries introduced stricter employment laws related to remote and offshore work between 2021 and 2024.
    • A PwC report estimates that compliance errors cost multinational companies an average of $2 million annually in fines and legal fees.
  • Trend Insight:
    Companies are partnering with third-party providers to manage payroll, legal compliance, and workforce contracts across multiple regions.
5. Automation and AI Redefining Workforce Needs

Automation and AI are reshaping resource placements by reducing reliance on manual labor and creating demand for skilled professionals capable of managing advanced technologies.

  • Statistics:
    • The World Economic Forum predicts that by 2025, automation will replace 85 million jobs but create 97 million new roles requiring technical expertise.
    • 64% of manufacturing executives say they plan to increase spending on AI and automation technologies in the next two years.
  • Trend Insight:
    Businesses are adopting hybrid resource models where automated systems handle repetitive tasks while human talent focuses on higher-value work like data analysis and strategic planning.

 

Strategies to Adapt to Changing Market Dynamics

 
1. Diversify Offshore Strategies

Move beyond traditional offshore hubs and explore new regions that balance cost and quality.

  • Focus on high-skill regions like Eastern Europe for technical roles.
  • Consider Southeast Asia and Latin America for cost-effective labor in mid-skill roles.
2. Upskill Your Workforce

Invest in training programs to close skill gaps and build a more versatile workforce.

  • Offer certifications in automation, AI, and regulatory compliance to empower existing employees.
  • Partner with external providers to deliver specialised training.
3. Adopt Remote Work Best Practices

Leverage technology to build collaborative, remote-friendly teams.

  • Use tools like Microsoft Teams and Slack to streamline communication across global teams.
  • Ensure robust cybersecurity measures for data integrity and compliance.
4. Leverage Automation for Efficiency

Implement automation tools to optimise workflows and reduce dependency on manual labor.

  • Use predictive analytics to forecast labor requirements and allocate resources efficiently.
  • Integrate automation systems with real-time data visualisation dashboards to monitor performance.
5. Partner with Experts

Work with experienced providers to manage complex resource placements and ensure compliance.

  • Realta Technologies specialises in global talent solutions, workforce optimisation, and compliance management.

 

How Réalta Technologies can Help:

 

At Realta Technologies, we understand the complexities of resource placements in the life sciences and manufacturing sectors. Our team helps businesses navigate market dynamics by providing tailored staffing solutions for workforce optimisation, compliance, and automation.

In 2025, we aim to employ 43 more professionals, including experienced engineers, graduates, and juniors eager to step into the industry and address the current challenges.

 

Our staff augmentation/secondment service includes:
  • Global Talent Solutions: Sourcing skilled talent locally, offshore, and remotely.
  • Regulatory Support: Ensuring compliance with labour laws, tax regulations, and data privacy requirements.
  • Advanced Analytics: Leveraging platforms like PowerBI and Tableau to optimise resource allocation and identify cost-saving opportunities.
  • Strategic Workforce Deployment: Working closely with market-leading EOR agencies to employ engineers in countries all over the world

Conclusion

The resource placement and offshore strategies of 2025 demand agility, innovation, and data-driven decision-making. By understanding market trends and adopting proactive strategies, businesses can build resilient, scalable workforces that drive growth.

Contact Realta Technologies today to learn how we can help you navigate the future of resource placements and workforce strategies.

Phone: +353 21 243 9113

Email: [email protected] 

Market Trends 2025: Navigating Resource Placements and Offshore Rates in Life Sciences and Manufacturing.

Introduction

In 2025, resource placements and offshore strategies are facing a transformation. Driven by rapid globalisation, labor cost fluctuations, and the rise of automation, businesses in the life sciences and manufacturing sectors must adapt to a dynamic landscape.

According to a Deloitte report, nearly 70% of manufacturing executives rank workforce challenges among their top business concerns, with labor shortages and rising costs being the key drivers. At the same time, the global offshore outsourcing market is projected to grow to $620 billion by 2030, indicating a strong shift toward offshore talent solutions.

As companies navigate these trends, adopting data-driven workforce strategies will be crucial for maintaining competitiveness. In this blog, we explore the key market dynamics influencing resource placements and offshore rates in 2025 and provide actionable strategies to help businesses adapt.

 

Market Dynamics Influencing Resource Placements in 2025

 
1. Fluctuating Labor Costs Across Regions

Labor cost disparities across the globe remain a significant factor in resource placements. While countries like Indiacontinue to offer cost-effective options, inflation and economic growth in these regions are pushing wages upward.

  • Statistics:
    • According to Statista, India’s average wages in IT services grew by 10% between 2015 and 2023.
    • Eastern Europe is emerging as a strong alternative for technical talent, offering rates 20-30% lower than Western Europe while maintaining high quality.
  • Trend Insight:
    Businesses are diversifying their offshore strategies, moving beyond traditional regions like India to emerging hubs such as Poland, Bulgaria, and Malaysia.
2. The Growing Importance of Skilled Talent

The life sciences and manufacturing industries are becoming increasingly data-driven, requiring expertise in fields like data analytics, automation, and regulatory compliance. However, the global talent pool for these high-skill roles is tightening.

  • Statistics:
    • A Korn Ferry report predicts a global shortage of more than 85 million skilled workers by 2030, leading to potential losses of $8.5 trillion in unrealised revenue.
    • 50% of manufacturing jobs in advanced fields, such as AI and automation, are expected to remain unfilled in 2025 due to skill gaps.
  • Trend Insight:
    Companies are investing in upskilling programs and leveraging hybrid teams that combine local expertise with remote or offshore support to bridge the talent gap.
3. Remote Work Expands Global Hiring Options

The shift to remote work has expanded the talent pool for many organisations. Companies can now hire skilled professionals from anywhere, reducing dependency on local labor markets.

  • Statistics:
    • Gartner reports that 32% of manufacturing companies now offer remote or hybrid work models for non-plant roles, up from just 8% pre-2020.
    • Tools like Microsoft Teams, Slack, and cloud-based ERP systems have seen adoption rates in manufacturing increase by 40% over the past three years.
  • Trend Insight:
    Businesses are increasingly building distributed teams that operate seamlessly across time zones, leveraging remote work technology to improve collaboration and efficiency.
4. Evolving Regulatory and Compliance Challenges

Globalisation and offshore placements bring increased scrutiny regarding labor laws, tax regulations, and data privacy compliance. Navigating these regulations requires businesses to be proactive in managing risks.

  • Statistics:
    • Over 70 countries introduced stricter employment laws related to remote and offshore work between 2021 and 2024.
    • A PwC report estimates that compliance errors cost multinational companies an average of $2 million annually in fines and legal fees.
  • Trend Insight:
    Companies are partnering with third-party providers to manage payroll, legal compliance, and workforce contracts across multiple regions.
5. Automation and AI Redefining Workforce Needs

Automation and AI are reshaping resource placements by reducing reliance on manual labor and creating demand for skilled professionals capable of managing advanced technologies.

  • Statistics:
    • The World Economic Forum predicts that by 2025, automation will replace 85 million jobs but create 97 million new roles requiring technical expertise.
    • 64% of manufacturing executives say they plan to increase spending on AI and automation technologies in the next two years.
  • Trend Insight:
    Businesses are adopting hybrid resource models where automated systems handle repetitive tasks while human talent focuses on higher-value work like data analysis and strategic planning.

 

Strategies to Adapt to Changing Market Dynamics

 
1. Diversify Offshore Strategies

Move beyond traditional offshore hubs and explore new regions that balance cost and quality.

  • Focus on high-skill regions like Eastern Europe for technical roles.
  • Consider Southeast Asia and Latin America for cost-effective labor in mid-skill roles.
2. Upskill Your Workforce

Invest in training programs to close skill gaps and build a more versatile workforce.

  • Offer certifications in automation, AI, and regulatory compliance to empower existing employees.
  • Partner with external providers to deliver specialised training.
3. Adopt Remote Work Best Practices

Leverage technology to build collaborative, remote-friendly teams.

  • Use tools like Microsoft Teams and Slack to streamline communication across global teams.
  • Ensure robust cybersecurity measures for data integrity and compliance.
4. Leverage Automation for Efficiency

Implement automation tools to optimise workflows and reduce dependency on manual labor.

  • Use predictive analytics to forecast labor requirements and allocate resources efficiently.
  • Integrate automation systems with real-time data visualisation dashboards to monitor performance.
5. Partner with Experts

Work with experienced providers to manage complex resource placements and ensure compliance.

  • Realta Technologies specialises in global talent solutions, workforce optimisation, and compliance management.

 

How Réalta Technologies can Help:

 

At Realta Technologies, we understand the complexities of resource placements in the life sciences and manufacturing sectors. Our team helps businesses navigate market dynamics by providing tailored staffing solutions for workforce optimisation, compliance, and automation.

In 2025, we aim to employ 43 more professionals, including experienced engineers, graduates, and juniors eager to step into the industry and address the current challenges.

 

Our staff augmentation/secondment service includes:
  • Global Talent Solutions: Sourcing skilled talent locally, offshore, and remotely.
  • Regulatory Support: Ensuring compliance with labour laws, tax regulations, and data privacy requirements.
  • Advanced Analytics: Leveraging platforms like PowerBI and Tableau to optimise resource allocation and identify cost-saving opportunities.
  • Strategic Workforce Deployment: Working closely with market-leading EOR agencies to employ engineers in countries all over the world

Conclusion

The resource placement and offshore strategies of 2025 demand agility, innovation, and data-driven decision-making. By understanding market trends and adopting proactive strategies, businesses can build resilient, scalable workforces that drive growth.

Contact Realta Technologies today to learn how we can help you navigate the future of resource placements and workforce strategies.

Phone: +353 21 243 9113

Email: [email protected] 

Market Trends 2025: Navigating Resource Placements and Offshore Rates in Life Sciences and Manufacturing. Read More »

Batch Reports in Pharma: Simplifying Compliance with Review by Exception

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Batch Reports in Pharma: Simplifying Compliance with Review by Exception

Introduction

In the pharmaceutical industry, compliance with regulatory requirements is non-negotiable. One of the cornerstones of maintaining compliance while ensuring product quality is effective batch reporting. However, traditional batch reporting can be time-consuming and labour-intensive, particularly when every detail must be reviewed manually. This is where the concept of Review by Exception (RBE) transforms the process, enabling pharmaceutical manufacturers to focus only on deviations and anomalies rather than analysing every data point.

 

In this blog, we’ll explore the fundamentals of batch reporting and RBE, their benefits in the pharma industry, and how Réalta Technologies supports this approach using cutting-edge technologies and tools.

 

What Are Batch Reports in Pharma?

Batch reports are comprehensive documents detailing every stage of a pharmaceutical manufacturing process, from raw material procurement to final product release. These reports serve as critical records for ensuring that each batch of a product complies with stringent regulatory standards, including FDA 21 CFR Part 11 and EU GMP Annex 11.

 

Batch reports typically include:

  • Process parameters: Information on temperature, pressure, mixing speed, etc.
  • Material traceability: Lot numbers and sources of raw materials.
  • Quality control data: Test results to verify product integrity.
  • Deviations and corrective actions: Any process anomalies and steps taken to address them.

While essential for compliance, manually reviewing batch reports is resource-intensive and can delay product release.

 

What Is Review by Exception (RBE)?

Review by Exception (RBE) is a modern approach to batch reporting that focuses on identifying and analysing deviations or anomalies rather than manually reviewing all data. With this method, only data points or events outside predefined parameters (exceptions) are flagged for review.

 

How It Works:
  1. Parameter Definition: Acceptable ranges for critical process parameters (CPPs) and key quality attributes (KQAs) are predefined.
  2. Data Monitoring: Advanced systems continuously monitor real-time and historical data.
  3. Exception Alerts: Only deviations outside acceptable ranges are flagged for review.

RBE eliminates unnecessary reviews of compliant data, streamlining the batch release process while maintaining quality and regulatory adherence.

 

Benefits of Batch Reports with Review by Exception

 
1. Reduced Review Time

RBE drastically reduces the time required for batch reviews by highlighting only the exceptions, enabling faster product release without compromising quality.

2. Improved Resource Efficiency

By automating the identification of exceptions, RBE allows quality teams to focus their efforts on addressing critical issues, reducing manual workloads.

3. Enhanced Compliance

Automated monitoring and reporting ensure that every deviation is documented and addressed, meeting stringent regulatory requirements.

4. Improved Decision-Making

Dashboards and advanced analytics provide clear insights into trends and recurring exceptions, empowering manufacturers to implement preventive measures.

5. Cost Savings

Streamlined review processes lead to operational efficiencies, reducing costs associated with lengthy manual reviews and production delays.

6. Increase the accuracy of Exception Detection

When a review is performed manually on large quantities of data, the likelihood of missing a deviation is much larger than when with an automated review.

 

How Réalta Technologies Supports Batch Reporting and RBE

Réalta Technologies is at the forefront of providing pharmaceutical manufacturers with tailored solutions for batch reporting and Review by Exception. By combining industry expertise with advanced technology, we help clients implement efficient, compliant, and scalable systems for managing batch data.

 

Technologies and Tools We Use:

 

AVEVA PI System

      • Enables real-time data collection, storage, and visualisation for batch processes.
      • Provides seamless integration with other systems like MES and automation platforms.
PI Notifications
      • Alerts stakeholders about deviations in real time, ensuring timely corrective actions.

PI Batch Interfaces

      • PI Interfaces for Batch Execution Systems allow PI to recreate the complex batch events in PI Event Frames from the rich information available in execution systems enabling customers to easily view their real-time process data within the context of their product and batch

PI Event Frames (EF Gen)

      • Automates the creation of complex batch events in PI Event Frames based on process conditions, allowing to properly frame the retrieval of critical process parameters, and enabling quick identification of exceptions

Syncade MES Integration

      • Facilitates integration with Manufacturing Execution Systems (MES) to streamline data flow and batch report generation.

RtReports

    • RtReports is a fully configurable web-based enterprise reporting application used with the PI System for generating electronic and printed reports. RtReports can be used to produce repeatable reports through configuration and without programming

 

How Réalta Technologies Can Assist Your Facility

At Réalta Technologies, we specialise in designing and implementing robust solutions for batch reporting and Review by Exception in pharmaceutical manufacturing. Here’s how we can help:

1. Seamless Integration

We ensure seamless integration of batch reporting systems with your existing MES, automation, and data collection platforms. This unified approach ensures that all critical data is captured and analysed in real time.

2. Customisable Solutions

Every facility is unique, and so are its needs. Our team works closely with you to develop RBE parameters and customised dashboards that align with your operations and regulatory requirements.

3. Advanced Analytics

Using tools like SEEQ and PowerBI, we provide advanced analytics capabilities, enabling you to gain deeper insights into exceptions and optimise your processes accordingly.

4. Scalability

As your operations grow, our solutions can scale with you. Whether you’re adding new lines or increasing production capacity, Réalta Technologies ensures your systems remain robust and efficient.

5. Regulatory Expertise

With a deep understanding of pharmaceutical regulations, our team ensures that all batch reporting systems meet compliance requirements, including FDA 21 CFR Part 11 and EU GMP standards.

 

Conclusion

Batch reporting and Review by Exception are revolutionising the pharmaceutical industry, offering faster, more efficient, and compliant ways to manage batch data. With Réalta Technologies’ expertise and cutting-edge solutions, you can streamline your reporting processes, reduce costs, and ensure compliance with industry regulations.

 

Contact us today to learn how Réalta Technologies can help your pharmaceutical facility adopt Review by Exception and achieve operational excellence.

 

Phone: +353 21 243 9113

Email: [email protected] 



Batch Reports in Pharma: Simplifying Compliance with Review by Exception

Introduction

In the pharmaceutical industry, compliance with regulatory requirements is non-negotiable. One of the cornerstones of maintaining compliance while ensuring product quality is effective batch reporting. However, traditional batch reporting can be time-consuming and labour-intensive, particularly when every detail must be reviewed manually. This is where the concept of Review by Exception (RBE) transforms the process, enabling pharmaceutical manufacturers to focus only on deviations and anomalies rather than analysing every data point.

 

In this blog, we’ll explore the fundamentals of batch reporting and RBE, their benefits in the pharma industry, and how Réalta Technologies supports this approach using cutting-edge technologies and tools.

 

What Are Batch Reports in Pharma?

Batch reports are comprehensive documents detailing every stage of a pharmaceutical manufacturing process, from raw material procurement to final product release. These reports serve as critical records for ensuring that each batch of a product complies with stringent regulatory standards, including FDA 21 CFR Part 11 and EU GMP Annex 11.

 

Batch reports typically include:

  • Process parameters: Information on temperature, pressure, mixing speed, etc.
  • Material traceability: Lot numbers and sources of raw materials.
  • Quality control data: Test results to verify product integrity.
  • Deviations and corrective actions: Any process anomalies and steps taken to address them.

While essential for compliance, manually reviewing batch reports is resource-intensive and can delay product release.

 

What Is Review by Exception (RBE)?

Review by Exception (RBE) is a modern approach to batch reporting that focuses on identifying and analysing deviations or anomalies rather than manually reviewing all data. With this method, only data points or events outside predefined parameters (exceptions) are flagged for review.

 

How It Works:
  1. Parameter Definition: Acceptable ranges for critical process parameters (CPPs) and key quality attributes (KQAs) are predefined.
  2. Data Monitoring: Advanced systems continuously monitor real-time and historical data.
  3. Exception Alerts: Only deviations outside acceptable ranges are flagged for review.

RBE eliminates unnecessary reviews of compliant data, streamlining the batch release process while maintaining quality and regulatory adherence.

 

Benefits of Batch Reports with Review by Exception

 
1. Reduced Review Time

RBE drastically reduces the time required for batch reviews by highlighting only the exceptions, enabling faster product release without compromising quality.

2. Improved Resource Efficiency

By automating the identification of exceptions, RBE allows quality teams to focus their efforts on addressing critical issues, reducing manual workloads.

3. Enhanced Compliance

Automated monitoring and reporting ensure that every deviation is documented and addressed, meeting stringent regulatory requirements.

4. Improved Decision-Making

Dashboards and advanced analytics provide clear insights into trends and recurring exceptions, empowering manufacturers to implement preventive measures.

5. Cost Savings

Streamlined review processes lead to operational efficiencies, reducing costs associated with lengthy manual reviews and production delays.

6. Increase the accuracy of Exception Detection

When a review is performed manually on large quantities of data, the likelihood of missing a deviation is much larger than when with an automated review.

 

How Réalta Technologies Supports Batch Reporting and RBE

Réalta Technologies is at the forefront of providing pharmaceutical manufacturers with tailored solutions for batch reporting and Review by Exception. By combining industry expertise with advanced technology, we help clients implement efficient, compliant, and scalable systems for managing batch data.

 

Technologies and Tools We Use:

 

AVEVA PI System

      • Enables real-time data collection, storage, and visualisation for batch processes.
      • Provides seamless integration with other systems like MES and automation platforms.
PI Notifications
      • Alerts stakeholders about deviations in real time, ensuring timely corrective actions.

PI Batch Interfaces

      • PI Interfaces for Batch Execution Systems allow PI to recreate the complex batch events in PI Event Frames from the rich information available in execution systems enabling customers to easily view their real-time process data within the context of their product and batch

PI Event Frames (EF Gen)

      • Automates the creation of complex batch events in PI Event Frames based on process conditions, allowing to properly frame the retrieval of critical process parameters, and enabling quick identification of exceptions

Syncade MES Integration

      • Facilitates integration with Manufacturing Execution Systems (MES) to streamline data flow and batch report generation.

RtReports

    • RtReports is a fully configurable web-based enterprise reporting application used with the PI System for generating electronic and printed reports. RtReports can be used to produce repeatable reports through configuration and without programming

 

How Réalta Technologies Can Assist Your Facility

At Réalta Technologies, we specialise in designing and implementing robust solutions for batch reporting and Review by Exception in pharmaceutical manufacturing. Here’s how we can help:

1. Seamless Integration

We ensure seamless integration of batch reporting systems with your existing MES, automation, and data collection platforms. This unified approach ensures that all critical data is captured and analysed in real time.

2. Customisable Solutions

Every facility is unique, and so are its needs. Our team works closely with you to develop RBE parameters and customised dashboards that align with your operations and regulatory requirements.

3. Advanced Analytics

Using tools like SEEQ and PowerBI, we provide advanced analytics capabilities, enabling you to gain deeper insights into exceptions and optimise your processes accordingly.

4. Scalability

As your operations grow, our solutions can scale with you. Whether you’re adding new lines or increasing production capacity, Réalta Technologies ensures your systems remain robust and efficient.

5. Regulatory Expertise

With a deep understanding of pharmaceutical regulations, our team ensures that all batch reporting systems meet compliance requirements, including FDA 21 CFR Part 11 and EU GMP standards.

 

Conclusion

Batch reporting and Review by Exception are revolutionising the pharmaceutical industry, offering faster, more efficient, and compliant ways to manage batch data. With Réalta Technologies’ expertise and cutting-edge solutions, you can streamline your reporting processes, reduce costs, and ensure compliance with industry regulations.

 

Contact us today to learn how Réalta Technologies can help your pharmaceutical facility adopt Review by Exception and achieve operational excellence.

 

Phone: +353 21 243 9113

Email: [email protected] 



Batch Reports in Pharma: Simplifying Compliance with Review by Exception Read More »