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Home > Resource Center > Correla is Building a Collaborative Data Governance Program with ER/Studio

Correla is Building a Collaborative Data Governance Program with ER/Studio

Correla struggled with a complex data environment comprised of legacy systems and millions of data assets. They partnered with ER/Studio and gained the control needed to run their business.

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30%
Reduced Manual Data Modeling Time
20%
Reduced Compliance Risk

How Correla Transformed Data Chaos into Strategic Insights with ER/Studio

Correla struggled with data silos, poor data quality, and inefficient tools that couldn’t effectively manage complex data models. Without a robust architecture to organize and govern their data, Correla’s data governance initiatives stalled, limiting collaboration and decision-making. With ER/Studio, Correla found a powerful solution to transform their disorganized data into a structured, actionable resource, enabling better decision-making, data democratization, and strategic planning.

Why ER/Studio?

Reverse Engineering of Legacy Data

ER/Studio allowed the team to reverse engineer data from their legacy SAP system, enabling them to quickly create detailed data models and document the relationships between different data elements.

Managing Complex Data Models

ER/Studio was able to manage multiple physical data models beneath a single logical model, providing a more structured approach to handling complex data systems.

Enhanced Collaboration and Data Democratization

With Team Server Core, Correla was able to share its data insights and models across the organization, improving collaboration between the Data Architecture team and other departments. This enabled more data-driven decision-making across the business, fostering a culture of data sensibility.

Customizable Macros for Tailored Workflows

ER/Studio’s customizable macros allowed Correla to adapt the platform to their unique data environment, further streamlining their data governance workflows.

Improved Data Quality and Risk Reduction

The implementation of ER/Studio helped Correla improve the quality of their data, reducing errors and ensuring that the information used for strategic decision-making was accurate and reliable.

Challenges Faced

Julian Clemas-Howard, the Enterprise Data Architect at Correla, encountered a daunting challenge. The company manages the data from over 24 million gas meters across the UK, including critical information about gasoline usage, demand management, and operational activities. However, the data was housed in a legacy SAP system, suffering from an unstructured, flat format that made it difficult to use for strategic purposes.

Key Obstacles:

  • Data Silos: The lack of a unified structure prevented different teams from sharing data insights and collaborating effectively.
  • Poor Data Quality: With limited governance and a flat data structure, there was no reliable way to ensure that the data was accurate, timely, and consistent.
  • Inefficient Tools: Correla’s existing tool for managing data models proved ineffective. A competitor to ER/Studio, it struggled to handle multiple physical models beneath a single logical model, which increased manual workloads for Clemas-Howard’s team.

Need For A Robust Data Architecture

Without a robust architecture to organize and govern their data, Correla’s data governance initiatives were stalling. The organization needed a solution that could transform this data chaos into a structured, actionable resource for decision-making, data democratization, and strategic planning.

Solution: ER/Studio ETE with Team Server Core

ER/Studio provided critical features that directly addressed Correla’s data challenges:

  • Reverse Engineering of Data:
    Correla was able to reverse engineer existing data from their legacy SAP system, quickly creating detailed, accurate data models that could be used for governance and analytics.
  • Managing Multiple Physical Models:
    Unlike their previous tool, ER/Studio allowed Clemas-Howard’s team to manage multiple detailed physical models beneath each logical model, saving significant time and effort in the data modeling process.
  • Improved Collaboration:
    ER/Studio enabled the Data Architecture team to fluidly share data models, collaborate on insights, and engage with stakeholders across various departments. This led to faster, more coordinated decision-making and increased cross-team alignment.

Results and Impact

With ER/Studio, Correla reinvigorated its data governance program, creating a unified strategy that engaged the entire organization. Clemas-Howard noted that ER/Studio’s nuanced and powerful capabilities made it the ideal solution for their needs, especially given the critical importance of the project to Correla’s long-term success.

“Our detailed data models are just what my team needed to re-energize our data governance initiative,” Clemas-Howard said, “And ER/Studio’s ability to share data across business lines has proven to be a unifying project.”

Key Results:

  • Collaboration Improvement:
    With the implementation of ER/Studio’s Team Server Core, Correla saw a 50% increase in cross-team collaboration efficiency by enabling fluid sharing of data insights and models across departments. The user-friendly interface made it easier for technical and non-technical stakeholders to engage in data strategy discussions.
  • Reduction in Data Management Time:
    Correla experienced a 20-30% reduction in time spent on data management tasks, including data cataloging and documentation, thanks to ER/Studio’s automation features and customizable macros that streamlined repetitive workflows.

ER/Studio Data Modeling Tools

ER/Studio has proven instrumental in helping Correla harness their complex data environment. By prioritizing data quality and scalability, Correla can continue to grow their Data Governance program.

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Overall, everything from the installation process and product support to the impact we’re getting from IDERA has far exceeded our expectations.
Julian Clemas-Howard
Enterprise Data Architect at Correla
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