Although it is often claimed that data has become one of the most valuable resources, active data management is still not established in many companies. Effective business intelligence and the application of analytics requires targeted data management, and this is precisely where data governance plays a central role. A framework that defines clear rules and responsibilities forms the foundation for a successful BIA strategy. In this practical, hands-on presentation, we share insights into why data governance projects often fail and which proven success factors exist. Using real-world examples, we demonstrate how data governance can be profitably integrated into business intelligence and analytics strategies
In this practice-oriented expert discussion on data governance concepts, you will learn more about:
- What governance really means in BI and how clear guidelines and a structured framework improve data quality and decision-making in BI projects
- Which roles are essential and how they can be effectively filled in the BIA environment to anchor data governance securely
- Is a governance process model the key to success, or are there alternative approaches?
- What technologies are truly necessary to sustainably implement governance in the BIA context, and where are the practical limits?
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