Published by Domino Data Lab
Data governance refers to the process of managing enterprise data with the aim of making data more accessible, reliable, usable, secure, and compliant across an organization. It is a critical feature of organizational data management and promotes better data quality and data democratization.
A well-planned data-governance framework is fundamental for any data-driven organization that aims to harness the business value of its data and downstream capabilities that drive robust decision-making. It covers and details best practices for data processes, roles, policies, standards, and metrics.
Naturally, data-governance frameworks vary from one organization to the next. Here are a few examples of strong data-governance frameworks recommended at companies like PWC, Hubspot, and ING.
However, there are a set of commonly accepted best practices, as listed below:
In this article, you’ll learn more about data-governance frameworks and their essential components, exploring use cases and best practices for choosing a data-governance framework for your organization.
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