000			02092nam a22001937a 4500
005			20250313201510.0
008			250313b |||||||| |||| 00| 0 eng d
020			_a9781634624787
082			_a658.478 _bSEN
100			_aSen, Harkish _920446
245			_aData governance: _bperspectives and practices
260			_bTechnics Publications _aNew Jersey _c2019
300			_a200 p.
365			_aUSD _b24.95
520			_aData Governance will answer these questions and provide you with insights and approaches to improve the “data fitness” of your organization. Gain control of your data and assign responsible parties to ensure the data remains well-understood and protected, by applying the content within this book’s six chapters: Chapter 1, Understanding Data Governance, looks at the broad definitions of data governance along with issues within data governance. Chapter 2, Owning Data Governance, looks at Ownership, Wider Perspectives, and Roles, and explores how transparent data governance can simplify the complexities of data ownership. Chapter 3, Data Confidence, explores using tools (e.g., standards, strategies, and policies) to clearly align business objectives with realistic IT deliverables and produce meaningful outcomes. Chapter 4, Getting Data Fit, covers the basic elements required to make data governance work for your specific organization. There are five steps required to achieve a basic level of data fitness and effective governance. Chapter 5, Approach and Stakeholders, covers various ways to implement data governance to ensure there are clear milestones and trigger points for key stakeholders to approve each phase. A data scorecard is introduced as a tool to help guide an organization through the data governance process. Chapter 6, A Case Study, concerns a fictitious company, D474, used to illustrate the various examples and scenarios for implementing data governance. (https://technicspub.com/data-governance-perspectives-and-practices/)
650			_aData protection
650			_aData modeling and design _922390
942			_cBK _2ddc
999			_c8661 _d8661