Master the MDS balancing act: Data governance vs. Self-serve
A guide to finding the happy balance between enough governance to tame data chaos and enough self-service to empower stakeholders.
A guide to finding the happy balance between enough governance to tame data chaos and enough self-service to empower stakeholders.
Effective data governance builds a culture of trust and collaboration around data.
Data governance and management is a term that has become more commonplace in recent years. However, many organizations are still struggling with how to implement effective data governance and management strategies. This lack of focus is becoming more and more apparent as the importance of data management continues to grow. Here are the four key pillars that will help you successfully implement your data governance strategy.
A good data governance strategy should benefit all users of your organization’s data—not just those with technical responsibility for it. Recent years have seen the increasing importance of data as a strategic asset, as several companies have used it to unlock and create value. Increasingly, companies are turning to data governance programs as a foundational pillar of their data strategy (like data mesh) to improve their data sets’ quality, consistency, usability, and security.