Manufacturing
Development and implementation of a data governance framework for an MS Purview-based data platform including a data marketplace
Starting point
- Missing data governance policies in a data platform slow down the development of new use cases
- Unclear responsibilities in data management and opaque regulatory requirements
- No unified authorization concept to control data access
- Lack of process standards for integrating new data sources into the data platform
- Silo formation in the specialist departments and use cases
Approach
- Process modeling along the data lifecycle
- Development and implementation of a data classification policy and standardized metadata schemas
- Introduction and training of Data Stewards to take responsibility for data in their respective departments
- Development of a user concept for a Data Marketplace for company-wide data discovery and access control
- Training of platform engineers and data stewards
Features/Project outcome
- Development of process standards for data management and platform administration
- Introduction of a Data Governance policy for traceability, transparency, data quality, and security
- Data Stewards and Platform Engineers have been trained on the new policy
- Integration of Databricks Unity Catalog and Microsoft Purview ensures seamless data management, monitoring of metadata quality, and data discoverability
Customer benefits
- Enabling many new use cases through data sharing
- Systematic improvement of data and metadata quality in the Data Lakehouse
- Data Marketplace accelerates and simplifies the evaluation of new use cases
- Highest security and quality standards through data classification
- Data platform meets GDPR requirements

Lars Ritter | Senior Manager