Data governance is the practice of managing data availability, usability, integrity, and security to support effective decision-making and regulatory compliance. Here’s a quick look at what’s covered in this guide:
What is Data Governance?: A foundational look at data governance, including its purpose and importance in a data-driven world.
Core Components of Data Governance: Essential elements like data quality, stewardship, policies, and data cataloging that form a comprehensive governance program.
Benefits of Effective Data Governance: How governance enhances data accuracy, enables compliance with regulations, and improves data-driven decision-making.
Key Challenges in Data Governance: Common hurdles, including data silos, complex compliance demands, and resource limitations.
Essential Tools for Data Governance: Key tools to streamline governance, such as data cataloging, lineage tracking, and compliance software, with highlights of Quest solutions like erwin Data Intelligence.
Building a Data Governance Framework: Step-by-step guidance for creating a governance framework tailored to your organization’s needs.
Best Practices for Long-Term Success: Actionable tips for maintaining effective governance over time, from regular audits to fostering collaboration across teams.
