Data Governance From the Fundamentals to Real Cases /

Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Caballero, Ismael (Editor), Piattini, Mario (Editor)
Summary:	XXIII, 241 p. 37 illus., 29 illus. in color. text
Language:	English
Published:	Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Edition:	1st ed. 2023.
Subjects:	Engineering > Data processing. Information technology > Management. Computers and civilization. Corporate governance. Data Engineering. Computer Application in Administrative Data Processing. Computers and Society. Corporate Governance.
Online Access:	https://doi.org/10.1007/978-3-031-43773-1
Format:	Electronic Book

Table of Contents:

Part I: Data Governance Fundamentals
1. Introduction to Data Governance: A bespoke program is required for success
2. Data Strategy and Policies: The Role of Data Governance in Data Ecosystems
3. Human Resources Management and Data Governance Roles: Executive Sponsor, Data Governors, and Data Stewards
4. Data Value and Monetizing Data
5. Data Governance Methodologies: The CC CDQ Reference Model for Data & Analytics Governance
6. Data Governance Tools
7. Maturity Models for Data Governance
Part II: Data Governance Applied
8. Data Governance in the Banking Sector
9. Data has the power to transform society
10. Data Governance in the insurance industry
11. Data Governance in the Health Sector
12. Data Governance in the Telco Sector.

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