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Full Description
Build a clear, practical data governance programme that strengthens data quality, reduces risk and improves decision making.
Effective Data Governance is a hands-on guide for mid-career data professionals, analysts, and managers who need to design a data governance approach that is both achievable and aligned to business priorities. Written by leading data governance expert Nicola Askham, this step-by-step resource simplifies the complexity of data governance and shows you exactly how to create a programme that delivers consistent, high-quality and trustworthy data across your organization.
Focused on practical delivery rather than theory, the book walks you through planning your governance approach, building a fit-for-purpose framework and writing policies that teams can actually use. It also explains how to identify roles and responsibilities, resolve data quality issues, manage risk and measure progress with the right controls and metrics.
You'll learn how to:
- Build a tailored data governance framework that fits your organization's needs
- Define roles, responsibilities and processes that improve data quality and accountability
- Address data risk, controls and quality challenges with practical tools
- Monitor progress with clear metrics and embed governance into day-to-day operations
With real-world examples and straightforward guidance, Effective Data Governance equips mid-career professionals with the tools to build a governance programme that improves data integrity, supports better decision making and enables long-term business performance.
Themes include: data governance, data quality, data risk, governance frameworks, data management, data analytics
Contents
Section - ONE: Prepare
Chapter - 01: What is data governance?
Chapter - 02: Planning your data governance approach
Section - TWO: Design
Chapter - 03: What is a data governance framework?
Chapter - 04: Writing your data governance policy
Chapter - 05: Identifying the right processes
Chapter - 06: Roles and responsibilities
Section - THREE: Implement
Chapter - 07: Data governance deliverables
Chapter - 08: Your data catalogue
Chapter - 09: Measuring your progress and evolving your data governance framework
Chapter - 10: Learning from what goes wrong
Chapter - 11: The principles of successful data governance
Chapter - 12: Resources
