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Data Governance Essentials: Policies and Procedures (Part 6)
- Data governance manages data availability, usability, integrity, and security in an organization through people, processes, policies, standards, and roles.
- Data quality ensures that data is reliable, accurate, and fit for purpose.
- Well-defined policies and procedures play a crucial role in data governance by providing clear guidelines for data management.
- Data quality, policies, and procedures work together to promote accountability, foster trust in data, and enable data-driven decision-making.
- The essential dimensions of data quality are accuracy, completeness, consistency, timeliness, validity, and uniqueness.
- Organizations can implement data quality by executing steps like Data profiling, data cleansing, validation testing, and data governance.
- Data policies are the rules and guidelines that ensure how data is managed and used across the organization and align with legal and regulatory requirements.
- Procedures bring policies to life and provide detailed instructions to ensure policies are effectively implemented and followed.
- Roles and responsibilities of employees are established to define policies and procedures, which may vary depending on the size and policies of the organization.
- Ataccama, Collibra, Oracle EDM, IBM InfoSphere, OvalEdge, Talend Data Fabric, Informatica Axon, Microsoft Purview, and DataRobot are popular tools for implementing data governance, data quality, policies, and procedures.
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