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TDWI Checklist Report | Six Steps for Minimizing Risk with Modern Data Governance

March 18, 2022

Data governance has always been important, but never more so than now. Today, organizations of all sizes want to collect, integrate, access, and share volumes of data from diverse sources to drive data science, strategy development, process optimization, and daily operational decisions.

Organizations need comprehensive and up-to-date policies, rules, and enforcement practices to guide how people and applications collect, access, share, and protect sensitive data. They face a variety of challenges in making data governance effective, continuous, and appropriately restrictive.

Although regulatory compliance is a major focus, it is not the only data governance concern. Governance can help organizations minimize risks by establishing policies and using technologies to improve data quality, reduce unnecessary data duplication, and improve efficiency and repeatability. Automation can be used to streamline governance, support critical data stewardship, and enable organizations to achieve continuous protection even as data grows, moves, and changes.

This TDWI Checklist Report discusses six steps for minimizing risk through modern data governance.

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