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...
Otros Autores: | |
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Hoboken, New Jersey :
Wiley-Blackwell
[2023]
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Colección: | Wiley and SAS business series.
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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 &
- Alignment
- Establish Data Governance Program
- Data Governance Operations
- Data Architecture
- Metadata
- Data Quality
- Reference &
- Master Data
- Using a RACI Model
- Strategy &
- Alignment
- Establish Data Governance Program
- Data Governance Program Operations
- Data Architecture
- Metadata
- Data Quality
- Reference &
- 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.