Browse Subject Headings
Effective Data Governance : Design a Framework That Works for Your Organization
Effective Data Governance : Design a Framework That Works for Your Organization
Click to enlarge
Author(s): Askham, Nicola
ISBN No.: 9781398624177
Pages: 288
Year: 202602
Format: Trade Paper
Price: $ 56.61
Dispatch delay: Dispatched between 7 to 15 days
Status: Available (Forthcoming)

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.


To be able to view the table of contents for this publication then please subscribe by clicking the button below...
To be able to view the full description for this publication then please subscribe by clicking the button below...
Browse Subject Headings