Nicola Askham: Effective Data Governance, Kartoniert / Broschiert
Effective Data Governance
- Design a Framework That Works for Your Organization
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- Verlag:
- Kogan Page, 02/2026
- Einband:
- Kartoniert / Broschiert
- Sprache:
- Englisch
- ISBN-13:
- 9781398624177
- Artikelnummer:
- 12328731
- Umfang:
- 288 Seiten
- Gewicht:
- 667 g
- Maße:
- 234 x 156 mm
- Stärke:
- 15 mm
- Erscheinungstermin:
- 24.2.2026
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
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