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Automated Data Governance 101

April 13, 2020

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.

From a data science perspective, organizations have no choice but to become data driven. At the same time, governments are placing stringent limits on how data is collected and consumers are demanding more guarantees that their data is being used responsibly. Enacting stricter, standardized controls on data across the enterprise is no longer optional.

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.

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