Published: 24 June 2020
A key element of data and analytics governance initiatives involves deciding how critical artifacts (algorithms, models, metrics) must be governed. Data and analytics leaders must consider a range of policy types addressing quality, security, privacy, life cycle, ethics, and definitions and models.
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