Use Case - Data Governance Implementation at an Energy Company

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Customer description

A leading energy company in the Rotterdam region, responsible for distributing and supplying energy to millions of households and businesses. The company operates in a highly regulated sector where compliance and data quality are critical.

Challenge

The energy company needed a robust data governance framework to ensure compliance and data quality. The existing data management processes were fragmented and unable to comply with strict regulations and internal quality standards, leading to increased risks of data breaches and non-compliance.

Solution

We started with an extensive audit and design of a customized data governance framework. This framework included policies, procedures, and technologies that were specifically tailored to the needs of the energy company. Frameworks such as DAMA-DMBOK (Data Management Body of Knowledge) and tools such as Collibra for data governance and Informatics for data quality were used. In addition, strict security measures, including data encryption and access control, were implemented to ensure the integrity and security of the data.

Approach

  1. Initial Audit:

The project kicked off with a thorough audit of the existing data management processes and systems. This included stakeholder interviews and a detailed analysis of the current state of data governance.

  1. Framework design:

Based on the audit results, the team designed a customized data governance framework. This framework included clear data management guidelines and procedures, as well as the implementation of advanced data governance and quality technologies.

  1. Deployment and Integration:

The new framework was implemented and integrated with the energy company's existing systems. This process included the configuration of tools such as Collibra and Informatica, as well as staff training to ensure that they were able to follow the new procedures effectively.

  1. Monitoring and Optimization:

After implementation, a continuous monitoring and optimization process was established to ensure that the framework remained effective and met changing business and regulatory needs.

Results

  • Improved Compliance:

The energy company improved their data compliance by 40%, allowing them to better comply with regulations and internal quality standards.

  • Reduced Risks:

The risks related to data breaches and non-compliance were significantly reduced by implementing strict security measures and improved data management processes.

  • Increased Data Quality:

The quality of the data was significantly improved, leading to better decision making and operational efficiency.

  • Better Insights:

The new framework provided in-depth insights into the data management processes, allowing the energy company to make better-informed decisions and further optimize their strategies.

Conclusion

Thanks to this approach, the energy company in Rotterdam was able to significantly improve their data governance. The implementation of a robust data governance framework led to increased compliance, reduced risks and improved data quality, ultimately contributing to the company's overall operations and reliability.

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