Data Governance For Dummies

Title Page
Copyright Page
Table of Contents
Introduction
About This Book
Foolish Assumptions
Icons Used in This Book
Beyond the Book
Where to Go from Here
Part 1 Data Everywhere
Chapter 1 Defining Data Governance
Understanding Data Governance
What is meant by governance?
What is data governance?
Data governance versus data management
Data governance versus information governance
The value of data governance
Creating a data governance program
Developing a Data Governance Framework
Leadership and strategy
Roles and responsibilities
Policies, processes, and standards
Metrics
Tools
Communications and collaboration
Preparing for Data Governance
What is data culture?
Assessing the data culture
Maturing the data culture
Assessing data governance readiness
Chapter 2 Exploring a World Awash in Data
Defining Data
What’s all the fuss about data?
Welcome to the zettabyte era
From data to insight
The Role of Data in the 21st Century
Data-driven decision-making
Data as the new oil
Data ownership
Data architecture
The lifecycle of data
Data quality matters
Understanding the Impact of Big Data
Defining big data
The drivers of big data
Consequences of big data
What about small data?
Here comes smart data
Chapter 3 Driving Value through Data
Identifying the Roles of Data
Operations
Strategy
Decision-making
Measuring
Monitoring
Insight management
Reporting
Other roles for data
Improving Outcomes with Data
Approaching data as an asset
Data analytics
Data management
Governing data
Chapter 4 Transforming through Data
Examining the Broader Value of Data
Data catalogs
From data to insights
Data analytics
Data monetization
Data-driven decision making
Developing a Data Strategy for Improved Results
Why every organization needs a data strategy
Creating a data strategy
Managing and monitoring your data strategy
Part 2 Delivering Data Governance
Chapter 5 Building the Business Case for Data Governance
Identifying the Business Case for Data Governance
Drivers of change
Supporting governance, compliance, and risk
Improving the financial bottom line
Other arguments for supporting a data governance program
Creating a Data Governance Strategy Proposal
Involving the right stakeholders
Documenting and delivering the business case
Considering and presenting costs
Chapter 6 Focusing on the Fundamentals of Data Governance
Establishing Basic Approaches to Data Governance
Transparency
Accountability
Standardization
Change management
Examining Where Data Governance Brings Value
Privacy
Availability
Usability
Consistency
Compliance
Security
Integrity
Business intelligence
Quality
Part 3 Developing Data Governance
Chapter 7 Establishing Data Governance Objectives
Defining an Organization’s Priorities
Alignment with organizational needs
Ensuring inclusiveness
Determining the Desired Outcomes
Understanding and achieving program success
Agreeing on a desired maturity level
Level 1: Initial
Level 2: Aware
Level 3: Defined
Level 4: Proactive
Level 5: Optimized
Chapter 8 Identifying Data Governance Roles and Responsibilities
Exploring Roles and Responsibilities in Data Governance
Data governance manager
Data owner
Data steward
Data custodian
Roles of the chiefs in data governance
Chief Executive Officer (CEO)
Chief Data Officer (CDO)
Chief Compliance Officer (CCO)
Chief Information Officer (CIO)
Chief Information Security Officer (CISO)
Creating Data Governance Leadership Groups
Data Stewardship Council (DSC)
Data Governance Council (DGC)
Data Governance Program Office (DGPO)
Chapter 9 Designing a Data Governance Program
Analyzing Stakeholder Needs
Identifying data governance stakeholders
Analysis techniques for data governance programs
Understand the business strategy
Identify data assets
Conduct a risk analysis
Collect stakeholder requirements
Tips for requirements gathering
The role of data modeling
Knowledge graphs
Developing Policies and Procedures
Designing policies and procedures
Creating policies and procedures
Designing a policy document
Chapter 10 Deploying a Data Governance Program
Implementing a Data Governance Program
Change management
Change management for data changes
Announcing the program
Formalize the communications function
Preview the program
Use a variety of channels
Utilize many voices
Provide examples of benefits
Use clear language
Quick communication tips
Clarity and simplicity
Positivity and relevancy
Consistency and repetition
Creativity and playfulness
Providing training
Using Data Governance Across the Enterprise
The role of data governance in organizational functions
Executive suite and general management
Sales
Marketing
Human resources
Information technology
Finance
Other departments
Data governance in emerging technologies
Digital transformation
Artificial intelligence
Internet of Things (IoT)
Blockchain
Part 4 Democratizing Data
Chapter 11 Running a Successful Data Governance Program
Managing the Day-to-Day of a Data Governance Program
Ongoing program communications
Reporting on status
Continuous improvement
The PDCA framework
Resolving data definition disputes
Master data management
Reference data
Automating a Data Governance Program
Software tools for data governance
Selecting data governance tools
DataOps
DataGovOps
Cloud data governance
Chapter 12 Measuring and Monitoring a Data Governance Program
Identifying Ways to Measure Program Success
Determining the right performance indicators
Data quality
Strategic alignment
Governance
People
Technology
Building a management dashboard
Management dashboard best practices
Using a management dashboard
Using a data governance balanced scorecard
Deploying Monitoring Processes
The role of monitoring in data governance
Deciding what to monitor
Data quality
Compliance
Data governance program
Data lineage
Cybersecurity
Automating monitoring
Enforcing data governance
Garnering support for the program
Communication
Documentation
Metrics
Continuous improvement
Chapter 13 Responding to Data Governance Challenges and Risks
Exploring the Complexities of Data Governance
Data governance is hard
Insufficient leadership and organizational support
Too much (or too little ambition) at the start
Poor communications and change management
Data challenges
Data governance is easy
Data governance is already happening
Big returns for low investment
Even small steps can produce results
Leaders and teams are more motivated than they appear
Anticipating Ongoing Program Risks and Challenges
Areas of data governance maintenance
Staffing
Ongoing communications
Aligning data strategy with data governance
Current regulations and policies
Problem management
Periodic program reviews
The evolving data landscape
People
Process
Technology
Part 5 The Part of Tens
Chapter 14 Ten Data Governance Best Practices
Start Small and Progressively Build Your Program
Ensure the Program Is Aligned with the Interests of the Organization
Get Your Leaders to Advocate for the Program’s Success
Begin the Change Management Process Early
Establish Meaningful Metrics
Create Abundant Learning Opportunities for Team Members
Communicate Early and Often
Remind Stakeholders This Is a Program, Not a Project
Focus on People and Behaviors
Understand What Data Matters to the Organization
Chapter 15 Ten Essential Data Governance Stakeholders
Data Owner
Data Steward
Data Custodian
Data User
Data Governance Manager
Chief Data Officer (CDO)
Chief Information Officer (CIO)
Chief Executive Officer (CEO)
Data Governance Council (DGC)
Data Governance Program Office (DGPO)
Index
EULA