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Automated Data Governance 101

by Immuta

Mar 02, 2021

When it comes to the enterprise, data science and data governance programs are built on competing objectives, and enterprises have no choice but to try to satisfy both demands. Compliance and privacy programs, for example, require increasingly strict limitations on who can use what data and why, thanks to increasing regulations on data. On the other hand, data scientists need access to as much data as possible, as quickly as possible — otherwise their analysis could fall flat.

Our founding team spent over a decade working in the U.S. Intelligence Community, tackling some of the most complex and sensitive data problems in the world. This paper outlines lessons we've learned about how data science and governance programs can, if implemented properly, reinforce each other's objectives, and in the process, strengthen the core goals of your business and maintain customer loyalty.