Data Governance For Dummies
- Length: 288 pages
- Edition: 1
- Language: English
- Publisher: For Dummies
- Publication Date: 2022-12-08
- ISBN-10: 1119906776
- ISBN-13: 9781119906773
- Sales Rank: #413412 (See Top 100 Books)
How to build and maintain strong data organizations—the Dummies way
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.
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
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