Data governance : how to design, deploy, and sustain an effective data governance program

Front Cover -- Data Governance: How to Design, Deploy, and Sustain an Effective Data Governance Program -- Copyright -- Dedication -- Contents -- Forewords -- Preface -- Acknowledgments -- Chapter 1 Prologue: An executive overview -- The situation -- Concepts -- Chapter 2 Introduction -- Introduction -- Chapter 3 Data literacy and concepts -- The importance of concepts -- Data is an asset -- Data governance and governance -- Data management -- Information management -- Enterprise information management -- Data architecture -- The governance "V -- Solutions -- Master data management -- Data quality -- Business intelligence -- Analytics and advanced analytics -- Artificial intelligence or machine learning -- Other terms -- Principles -- Policies -- Some final core concepts -- E for enterprise -- Business program -- Evolution vs revolution -- Information management maturity -- Things will change -- Summary -- Chapter 4 Overview: A day in the life of a data governance program and its capabilities -- What does it look like? -- The scope of data governance and data management -- Business model -- Content -- Development methods -- Federation -- Elements of data governance programs -- Process-The DG operating model -- Essential capabilities -- Work flow -- Principles -- Policies -- Metrics -- The people element-Roles and responsibilities -- Data -- Technology and tools -- The critical success factors for data governance -- Summary -- Chapter 5 The data governance business case -- The business case -- Objectives of the business case for data governance -- Components of the business case -- The big picture (vision) -- Program risks -- Business alignment -- Costs of data quality issues -- Costs of missed opportunities -- Data debt -- Obstacles, impacts, and changes -- Presentation of the case -- The process to build the business case.