Data Governance, Second Edition, is for any executive, manager or data professional who needs to understand or implement a data governance program. It is required to ensure consistent, accurate and reliable data across their organization. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. This valuable resource provides comprehensive guidance to beginning professionals, managers or analysts looking to improve their processes, and advanced students in Data Management and related courses. With the provided framework and case studies all professionals in the data governance field will gain key insights into launching successful and money-saving data governance program.
- Incorporates industry changes, lessons learned and new approaches- Explores various ways in which data analysts and managers can ensure consistent, accurate and reliable data across their organizations- Includes new case studies which detail real-world situations- Explores all of the capabilities an organization must adopt to become data driven- Provides guidance on various approaches to data governance, to determine whether an organization should be low profile, central controlled, agile, or traditional- Provides guidance on using technology and separating vendor hype from sincere delivery of necessary capabilities- Offers readers insights into how their organizations can improve the value of their data, through data quality, data strategy and data literacy- Provides up to 75% brand-new content compared to the first edition
Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.
An Executive Overview 2. Introduction 3. Data Literacy and Concepts 4 Overview
A Day in the Life of a data governance program and its capabilities 5. The data governance business case 6. Process overview for deploying data governance 7. Scope and initiation 8. Assess 9. Vision 10. Align and business value 11. Functional design 12. Governing framework design 13. Road map 14. Rollout and sustain 15. Data governance artifacts and tools 16. Final remarks
Appendix Data Governance Charters Template Data Governance Orientation and ongoing knowledge transfer template Stakeholder Analysis Leadership Alignment Assessment Communications Plan Training Plan Example Post-rollout Checklist
John Ladley is a business thought leader and recognized authority in all aspects of Enterprise Information Management (EIM) with 35 years' experience in planning, project management, improving IT organizations and successful implementation of information systems. John has led teams focused on improving a client's business results through business intelligence, information management and data governance.
John is widely published. John frequently writes and speaks on a variety of technology and data topics. His information management experience is balanced between strategic technology planning, project management and practical application of technology to business problems.