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Data Governance: Frameworks, Principles, and Implementation Strategies

Introduction to Data Governance

Data governance refers to the collection of policies, processes, standards, and roles that ensure data is accurate, consistent, secure, and used responsibly across an organization. As digital transformation accelerates, organizations generate and manage vast volumes of structured and unstructured data. Without proper governance, this data can become fragmented, duplicated, insecure, or unreliable.

Effective data governance establishes accountability for data assets and ensures that data supports operational efficiency, regulatory compliance, and strategic decision-making. It is not solely an IT function; rather, it is a cross-functional discipline that involves business leaders, compliance teams, data stewards, and technology professionals working collaboratively to maintain data integrity and trust.

Core Objectives of Data Governance

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Welcome to our group Schiller Team Challenge April 2024! A space for us to connect and share with each other. Start by posting your thoughts, sharing media, or creating a poll.

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