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Traditional data governance pillars have been effective in managing the availability, usability, integrity, and security of data used in companies. But they have also raised a few problems over the years, including:

• Data and metadata that are out-of-sync
• Data stewards are not aligned with the process and with domain experts and data engineers
• Handoff in knowledge-intensive tasks is becoming more and more error-prone

So how can you resolve the underlying issues of the traditional data governance pillars?

Access this white paper to learn what a computational policy is and understand its importance in ensuring that data is used correctly and responsibly.

Vendor:

Agile Lab

Posted:

Apr 18, 2023

Published:

Apr 18, 2023

Format:

HTML

Type:

White Paper