✓ Who should own or run BI governance? Who should own or run BI governance and also, put it in place? ContributorsPhilip Russom, TDWI Research Director, Data Management Philip Russom is TDWI Research Director for Data Management and oversees many of TDWI’s research-oriented publications, services, and events. He also maintains a high competency in related fields, like data quality, master data management, and unified data management. Download PodcastApple Podcast, Google Podcast, Spotify, Pandora, iHeartRadio, SoundCloud, TuneIn, and Stitcher.
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These tools help automate and streamline various aspects of data governance, such as data cataloging, data lineage, data quality monitoring, and policy enforcement. Some popular data governance tools include data cataloging platforms like Collibra and Alation, data quality tools like Talend and Informatica, and data lineage tools like MANTA and Octopai. Key aspects of data security governance include data encryption, access controls, data masking, and regular security audits. Key considerations for AI data governance include data quality, data privacy, bias mitigation, and transparency. Implementing data governance tools and technologies that support data cataloging, data quality management, data lineage, and policy enforcement.
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Learn how to set up a cloud governance framework to drive effective cloud adoption while keeping enterprise strategies and goals at the center of the project