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Understanding Data Governance: A Comprehensive Guide
Data governance is a set of practices, policies, and standards that ensure data is managed as an asset in a consistent and reliable manner across an organization. It involves defining who owns the data, who has the right to make decisions about it, and how it can be used. This comprehensive guide aims to shed light on what data governance entails, its importance, how it can be achieved, best practices, and who should be involved in the process.
What is Data Governance?
Data governance refers to the collection of policies, roles, responsibilities, and procedures that oversee the management of data assets within an organization. It ensures that data is accurate, consistent, accessible, and protected from misuse. The main goal of data governance is to establish data management frameworks that enhance data quality, facilitate compliance with regulations, and enable data-driven decision-making.
A data governance framework typically consists of:
- Data Policies and Standards: These define the rules for data management practices, such as data access, privacy, and security.
- Roles and Responsibilities: Involves assigning data stewards, data owners, and other roles to enforce data governance policies.
- Data Quality…