book

Data Governance For Dummies

by Jonathan Reichental

December 2022

Beginner

288 pages

7h 21m

English

For Dummies

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Copyright
About This BookFoolish AssumptionsIcons Used in This BookBeyond the BookWhere to Go from Here
Understanding Data GovernanceDeveloping a Data Governance FrameworkPreparing for Data Governance
Defining DataThe Role of Data in the 21st CenturyUnderstanding the Impact of Big Data
Identifying the Roles of DataImproving Outcomes with Data
Examining the Broader Value of DataDeveloping a Data Strategy for Improved Results
Identifying the Business Case for Data GovernanceCreating a Data Governance Strategy Proposal

Establishing Basic Approaches to Data GovernanceExamining Where Data Governance Brings Value
Defining an Organization’s PrioritiesDetermining the Desired Outcomes
Exploring Roles and Responsibilities in Data GovernanceCreating Data Governance Leadership Groups
Analyzing Stakeholder NeedsDeveloping Policies and Procedures
Implementing a Data Governance ProgramUsing Data Governance Across the Enterprise
Managing the Day-to-Day of a Data Governance ProgramAutomating a Data Governance Program
Identifying Ways to Measure Program SuccessDeploying Monitoring Processes
Exploring the Complexities of Data GovernanceAnticipating Ongoing Program Risks and Challenges
Start Small and Progressively Build Your ProgramEnsure the Program Is Aligned with the Interests of the OrganizationGet Your Leaders to Advocate for the Program’s SuccessBegin the Change Management Process EarlyEstablish Meaningful MetricsCreate Abundant Learning Opportunities for Team MembersCommunicate Early and OftenRemind Stakeholders This Is a Program, Not a ProjectFocus on People and BehaviorsUnderstand What Data Matters to the Organization
Data OwnerData StewardData CustodianData UserData Governance ManagerChief Data Officer (CDO)Chief Information Officer (CIO)Chief Executive Officer (CEO)Data Governance Council (DGC)Data Governance Program Office (DGPO)

Content preview from Data Governance For Dummies

Chapter 4

Transforming through Data

IN THIS CHAPTER

Understanding the purpose of a data catalog

Exploring data monetization

Implementing data-driven decision-making

Creating a data strategy

This chapter discusses the challenges of searching for and finding data in the enterprise. The emergence of data catalogs has provided a viable solution to understanding what data is available, where it is, and how to access and use it. Having a current and easy-to-use data catalog is an excellent basis for higher value data performance. After all, how valuable is data that can’t be found?

When you acknowledge that data is an asset, you expect that data to bring economic benefits. This is called data monetization and I discuss it in depth, including how to put a price on data.

The chapter concludes with an overview of what a data strategy is, how to create one, and how to increase its chances of success. If your plan is in any way related to elevating the role of data in transforming your organization, creating and delivering a data strategy is required.