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Overview
Data Governance For Dummies offers an accessible first step for decision makers into understanding how data governance works and how to apply it to an organization in a way that improves results and doesn't disrupt. Prep your organization to handle the data explosion (if you know, you know) and learn how to manage this valuable asset. Take full control of your organization’s data with all the info and how-tos you need. This book walks you through making accurate data readily available and maintaining it in a secure environment. It serves as your step-by-step guide to extracting every ounce of value from your data.
- Identify the impact and value of data in your business
- Design governance programs that fit your organization
- Discover and adopt tools that measure performance and need
- Address data needs and build a more data-centric business culture
This is the perfect handbook for professionals in the world of data analysis and business intelligence, plus the people who interact with data on a daily basis. And, as always, Dummies explains things in terms anyone can understand, making it easy to learn everything you need to know.
Product Details
| ISBN-13: | 9781119906773 |
|---|---|
| Publisher: | Wiley |
| Publication date: | 12/08/2022 |
| Pages: | 288 |
| Sales rank: | 516,163 |
| Product dimensions: | 7.30(w) x 9.20(h) x 0.80(d) |
About the Author
Table of Contents
Introduction 1
About This Book 1
Foolish Assumptions 3
Icons Used in This Book 3
Beyond the Book 4
Where to Go from Here 4
Part 1 Data Everywhere 5
Chapter 1 Defining Data Governance 7
Understanding Data Governance 8
What is meant by governance? 8
What is data governance? 10
Developing a Data Governance Framework 14
Leadership and strategy 15
Roles and responsibilities 16
Policies, processes, and standards 16
Metrics 16
Tools 17
Communications and collaboration 17
Preparing for Data Governance 17
What is data culture? 18
Assessing data governance readiness 20
Chapter 2 Exploring a World Awash in Data 23
Defining Data 24
What's all the fuss about data? 24
Welcome to the zettabyte era 25
From data to insight 27
The Role of Data in the 21st Century 29
Data-driven decision-making 30
Data as the new oil 31
Data ownership 31
Data architecture 32
The lifecycle of data 33
Data quality matters 34
Understanding the Impact of Big Data 35
Defining big data 36
The drivers of big data 37
Consequences of big data 38
What about small data? 38
Here comes smart data 39
Chapter 3 Driving Value through Data 41
Identifying the Roles of Data 41
Operations 42
Strategy 43
Decision-making 44
Measuring 44
Monitoring 45
Insight management 46
Reporting 47
Other roles for data 48
Improving Outcomes with Data 49
Approaching data as an asset 49
Data analytics 51
Data management 52
Governing data 53
Chapter 4 Transforming through Data 55
Examining the Broader Value of Data 56
Data catalogs 57
From data to insights 61
Data analytics 62
Data monetization 64
Data-driven decision making 65
Developing a Data Strategy for Improved Results 68
Why every organization needs a data strategy 68
Creating a data strategy 70
Managing and monitoring your data strategy 73
Part 2 Delivering Data Governance 75
Chapter 5 Building the Business Case for Data Governance 77
Identifying the Business Case for Data Governance 78
Drivers of change 79
Supporting governance, compliance, and risk 80
Improving the financial bottom line 83
Other arguments for supporting a data governance program 84
Creating a Data Governance Strategy Proposal 84
Involving the right stakeholders 84
Documenting and delivering the business case 86
Considering and presenting costs 88
Chapter 6 Focusing on the Fundamentals of Data Governance 91
Establishing Basic Approaches to Data Governance 92
Transparency 92
Accountability 93
Standardization 94
Change management 96
Examining Where Data Governance Brings Value 97
Privacy 98
Availability 98
Usability 99
Consistency 100
Compliance 100
Security 100
Integrity 102
Business intelligence 103
Quality 103
Part 3 Developing Data Governance 105
Chapter 7 Establishing Data Governance Objectives 107
Defining an Organization's Priorities 108
Alignment with organizational needs 108
Ensuring inclusiveness 111
Determining the Desired Outcomes 112
Understanding and achieving program success 112
Agreeing on a desired maturity level 116
Chapter 8 Identifying Data Governance Roles and Responsibilities 121
Exploring Roles and Responsibilities in Data Governance 122
Data governance manager 123
Data owner 125
Data steward 126
Data custodian 127
Roles of the chiefs in data governance 128
Creating Data Governance Leadership Groups 134
Data Stewardship Council (DSC) 134
Data Governance Council (DGC) 136
Data Governance Program Office (DGPO) 137
Chapter 9 Designing a Data Governance Program 139
Analyzing Stakeholder Needs 140
Identifying data governance stakeholders 140
Analysis techniques for data governance programs 141
Tips for requirements gathering 145
The role of data modeling 146
Knowledge graphs 148
Developing Policies and Procedures 150
Designing policies and procedures 151
Creating policies and procedures 152
Designinga policy document 153
Chapter 10 Deploying a Data Governance Program 157
Implementing a Data Governance Program 158
Change management 159
Change management for data changes 161
Announcing the program 163
Quick communication tips 167
Providing training 168
Using Data Governance Across the Enterprise 171
The role of data governance in organizational functions 171
Data governance in emerging technologies 177
Part 4 Democratizing Data 183
Chapter 11 Running a Successful Data Governance Program 185
Managing the Day-to-Day of a Data Governance Program 186
Ongoing program communications 187
Reporting on status 189
Continuous improvement 191
The PDCA framework 192
Resolving data definition disputes 193
Master data management 195
Reference data 196
Automating a Data Governance Program 198
Software tools for data governance 199
Selecting data governance tools 199
DataOps 201
DataGovOps 203
Cloud data governance 206
Chapter 12 Measuring and Monitoring a Data Governance Program 209
Identifying Ways to Measure Program Success 210
Determining the right performance indicators 210
Building a management dashboard 215
Using a data governance balanced scorecard 217
Deploying Monitoring Processes 218
The role of monitoring In data governance 218
Deciding what to monitor 219
Automating monitoring 221
Enforcing data governance 222
Garnering support for the program 223
Chapter 13 Responding to Data Governance Challenges and Risks 227
Exploring the Complexities of Data Governance 228
Data governance is hard 228
Data governance is easy 232
Anticipating Ongoing Program Risks and Challenges 235
Areas of data governance maintenance 235
The evolving data landscape 238
Part 5 The Part of Tens 243
Chapter 14 Ten Data Governance Best Practices 245
Start Small and Progressively Build Your Program 246
Ensure the Program Is Aligned with the Interests of the Organization 247
Get Your Leaders to Advocate for the Program's Success 247
Begin the Change Management Process Early 248
Establish Meaningful Metrics 249
Create Abundant Learning Opportunities for Team Members 250
Communicate Early and Often 251
Remind Stakeholders This Is a Program, Not a Project 252
Focus on People and Behaviors 253
Understand What Data Matters to the Organization 254
Chapter 15 Ten Essential Data Governance Stakeholders 255
Data Owner 256
Data Steward 256
Data Custodian 257
Data User 257
Data Governance Manager 258
Chief Data Officer (CDO) 259
Chief Information Officer (CIO) 259
Chief Executive Officer (CEO) 260
Data Governance Council (DGC) 260
Data Governance Program Office (DGPO) 261
Index 263