Published: 04 July 2023
Summary
Data and analytics governance helps data and analytics leaders to be confident about the integrity of their data and models, and be sure that their results can be trusted. This research explains everything a chief data scientist will need to know to get started with data and analytics governance.
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Overview
Key Findings
Data and analytics leaders, and chief data scientists, are concerned about the manipulation of data and misuse of statistical methods in data science.
Chief data scientists have a unique position in that they lead and organize the work of data science for their organizations, and they can most effectively leverage data and analytics governance.
Data and analytics governance is about guiding people toward appropriate data-handling behavior when working with data and analytics.
Developments in the data management technology market, such as converging technologies and applied active metadata (leveraging ML/AI), present opportunities to optimize D&A governance technology (that is transforming in an
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