Data governance involves defining policies, processes and roles for data handling, enhancing decision-making and ensuring regulatory compliance by managing data assets and enforcing data access. Effective data governance improves data transparency and reduces risks.
Data governance oversees data availability, usability, integrity, and security within an organization by setting policies and procedures for data handling. Data management involves storing, organizing and managing data, including data modeling and data warehousing.
A data governance framework aligns organizational goals and challenges to achieve measurable, scalable results and is supported by four key pillars. The four pillars of data governance include distinct use cases connecting governance to business outcomes; quantifiable value for assessing success; targeted product capabilities empowering teams through data discovery, collaboration and access; and a delivery model that supports scalable service for all your data-intensive use cases.
