Practitioner's guide to operationalizing data governance

Discover what does--and doesn't--work when designing and building a data governance program. In A Practitioner's Guide to Operationalizing Data Governance, veteran SAS and data management expert Mary Anne Hopper walks readers through the planning, design, operationalization, and maintenanc...

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Detalles Bibliográficos
Otros Autores: Hopper, Mary Anne, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Hoboken, New Jersey : Wiley-Blackwell [2023]
Colección:Wiley and SAS business series.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009752738006719
Tabla de Contenidos:
  • Cover
  • Title Page
  • Copyright Page
  • Contents
  • Acknowledgments
  • Chapter 1 Introduction
  • Intended Audience
  • Experience
  • Common Challenge Themes
  • Metadata
  • Access to Data
  • Trust in Data
  • Data Integration
  • Data Ownership
  • Reporting/Analytics
  • Data Architecture
  • Reliance on Individual Knowledge
  • Culture
  • How Data Governance Can Help
  • Metadata
  • Access to Data
  • Trust in Data
  • Data Integration
  • Data Ownership
  • Reporting/Analytics
  • Data Architecture
  • Reliance on Individual Knowledge
  • Culture
  • Chapter 1 - Introduction Summary
  • Chapter 2 - Rethinking Data Governance
  • Chapter 3 - Data Governance and Data Management
  • Chapter 4 - Priorities
  • Chapter 5 - Common Starting Points
  • Chapter 6 - Data Governance Planning
  • Chapter 7 - Organizational Framework
  • Chapter 8 - Roles and Responsibilities
  • Chapter 9 - Operating Procedures
  • Chapter 10 - Communication
  • Chapter 11 - Measurement
  • Chapter 12 - Roadmap
  • Chapter 13 - Policies
  • Chapter 14 - Data Governance Maturity
  • Chapter 2 Rethinking Data Governance
  • Results You Can Expect With Common Approaches to Data Governance
  • Here Comes Panera
  • Voluntelling
  • Misaligning Titles and Roles
  • Project Delivery
  • Tool Deployment
  • What Does Work
  • Adopting Consistent Definitions
  • Disciplined Approach to Program Planning, Design, and Execution
  • Rethinking Data Governance Summary
  • Chapter 3 Data Governance and Data Management
  • Results You Can Expect Focusing Purely on Data Governance or Data Management
  • SAS Data Management Framework
  • Data Governance
  • Data Management
  • Data Stewardship
  • Business Drivers
  • Solutions
  • Methods
  • Aligning Data Governance and Data Management Outcomes
  • Data Architecture
  • Data Administration
  • Data Quality
  • Data Security
  • Metadata
  • Reference and Master Data.
  • Reporting and Analytics
  • Data Life Cycle
  • Misaligning Data Governance and Data Management
  • Data Governance and Data Management Summary
  • Chapter 4 Priorities
  • Results You Can Expect Using the Most Common Approaches to Prioritization
  • The List
  • Level
  • Volume
  • Lunch
  • Communication
  • Emergency
  • A Disciplined Approach to Priorities
  • Business Value
  • Achievability
  • Utilizing the Model
  • University - Formal Weighted Model
  • Retailer - A Different Approach
  • Priorities Summary
  • Chapter 5 Common Starting Points
  • Results You Can Expect With Too Many Entry Points
  • Building a Data Portfolio
  • Metadata
  • Metadata Categories
  • Business Metadata
  • Technical Metadata
  • Operational Metadata
  • Data Quality
  • Business Definition
  • Data Element
  • Data Record
  • Data Movement
  • Data Profiling
  • Common Starting Points Summary
  • Chapter 6 Data Governance Planning
  • Results You Can Expect Without Planning
  • Defining Objectives
  • Our Objectives
  • Defining Guiding Principles
  • Data Governance Planning Summary
  • Chapter 7 Organizational Framework
  • Results You Can Expect When There Is No Defined Organizational Structure
  • Organizational Framework Roles
  • Support
  • Oversight
  • Operations
  • Facilitation
  • Defining a Framework
  • Data Governance Steering Committee
  • Program Management
  • Data Owner
  • Working Group
  • Data Stewardship
  • Data Management
  • Aligning the Model to Existing Structures
  • Leadership Team
  • Data Manager Team
  • Domain Definitions - Student
  • Domain Definitions - Business Operations
  • Domain Definitions - External
  • Data Manager
  • Data Steward
  • Ad-Hoc Working Group
  • Data Governance Management
  • Technical Data Operations
  • Aligning the Framework to the Culture
  • Data Governance Steering Committee
  • Data Governance Sub-Committee
  • Data Governance Office
  • Data Steward.
  • Simplifying the Model
  • Defining the Right Data Stewardship Model
  • Data Domain Model
  • Application Model
  • Project Model
  • Organizational Framework Summary
  • Chapter 8 Roles and Responsibilities
  • Results You Can Expect When Roles and Responsibilities Are Not Clearly Defined
  • Aligning Actions and Decisions to Program Objectives
  • Strategy &amp
  • Alignment
  • Establish Data Governance Program
  • Data Governance Operations
  • Data Architecture
  • Metadata
  • Data Quality
  • Reference &amp
  • Master Data
  • Using a RACI Model
  • Strategy &amp
  • Alignment
  • Establish Data Governance Program
  • Data Governance Program Operations
  • Data Architecture
  • Metadata
  • Data Quality
  • Reference &amp
  • Master Data
  • Defining Roles and Responsibilities
  • Data Governance Steering Committee
  • Program Management
  • Data Governance Council
  • Data Owner Team
  • Working Group
  • Data Stewardship
  • Data Management
  • Naming Names
  • Roles and Responsibilities Summary
  • Chapter 9 Operating Procedures
  • Results You Can Expect Without Operating Procedures
  • Operating Procedures
  • Data Governance Steering Committee
  • Data Governance Council
  • Data Owner
  • Data Steward Team
  • Working Group
  • Program Management Team
  • Data Management Team
  • A Simplified View of Operating Procedures
  • Workflows
  • Policy Development
  • Data Issue Intake
  • Compliance Monitoring
  • Prioritization
  • Operating Procedures Summary
  • Chapter 10 Communication
  • Results You Can Expect Without Communication
  • Communication Plan Components
  • Message
  • Objective
  • Author(s)
  • Audience
  • Frequency
  • Medium
  • Sample Communication Plan
  • Communication Summary
  • Chapter 11 Measurement
  • Results You Can Expect Without Measurement
  • What Measurements to Define
  • Program Scorecard - A Starting Point
  • Data Governance Participation.
  • Data Governance Program Milestones
  • Policy Compliance
  • Program Scorecard Sample
  • Measurement Summary
  • Chapter 12 Roadmap
  • Results You Can Expect Without a Roadmap
  • First Step in Defining a Roadmap: Implementing Your Framework
  • Defining a Roadmap
  • Workstreams
  • Launch Data Governance
  • Data Warehouse Program Management
  • Data Architecture
  • Metadata
  • Data Quality
  • Data Management
  • Formality First or Save it For Later?
  • Critical Success Factors
  • Roadmap Summary
  • Chapter 13 Policies
  • Results You Can Expect Without Policies
  • Breaking Down a Policy
  • Policy
  • Procedure
  • Standard
  • Best Practice
  • Data Management
  • Contents of a Policy
  • Policy Example - Metadata
  • Name
  • Policy Purpose
  • Policy Objectives
  • Policy Statement
  • Attendant Procedures and Standards
  • Metadata Collection Standard Template
  • Scope/Affected Area(s)
  • Roles and Responsibilities
  • Compliance
  • Effective Date
  • Maintenance and Review
  • Policy Example - Data Quality
  • Policy Purpose
  • Policy Objectives
  • Policy Statement
  • Procedures
  • Standards
  • Scope/Affected Area(s)
  • Roles and Responsibilities
  • Policy Summary
  • Chapter 14 Data Governance Maturity
  • Results You Can Expect With Maturity
  • Data Governance Maturity Cycle
  • Stage 1 - Define Program
  • Stage 2 - Identify Challenges
  • Stage 3 - Develop Policy
  • Stage 4 - Policy Execution
  • Stage 5 - Monitor and Communicate
  • Maturing Your Program
  • Summary
  • About the Author
  • Glossary of Terms
  • Index
  • EULA.