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Data governance = from the fundamentals to real cases /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data governance/ edited by Ismael Caballero, Mario Piattini.
Reminder of title:	from the fundamentals to real cases /
other author:	Caballero, Ismael.
Published:	Cham :Springer Nature Switzerland : : 2023.,
Description:	xxiii, 241 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Knowledge management. -
Online resource:	https://doi.org/10.1007/978-3-031-43773-1
ISBN:	9783031437731

Data governance = from the fundamentals to real cases /
Data governancefrom the fundamentals to real cases /[electronic resource] :edited by Ismael Caballero, Mario Piattini. - Cham :Springer Nature Switzerland :2023. - xxiii, 241 p. :ill. (some col.), digital ;24 cm.

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.

This book presents a set of models, methods, and techniques that allow the successful implementation of data governance (DG) in an organization and reports real experiences of data governance in different public and private sectors. To this end, this book is composed of two parts. Part I on "Data Governance Fundamentals" begins with an introduction to the concept of data governance that stresses that DG is not primarily focused on databases, clouds, or other technologies, but that the DG framework must be understood by business users, systems personnel, and the systems themselves alike. Next, chapter 2 addresses crucial topics for DG, such as the evolution of data management in organizations, data strategy and policies, and defensive and offensive approaches to data strategy. Chapter 3 then details the central role that human resources play in DG, analysing the key responsibilities of the different DG-related roles and boards, while chapter 4 discusses the most common barriers to DG in practice. Chapter 5 summarizes the paradigm shifts in DG from control to value creation. Subsequently chapter 6 explores the needs, characteristics and key functionalities of DG tools, before this part ends with a chapter on maturity models for data governance. Part II on "Data Governance Applied" consists of five chapters which review the situation of DG in different sectors and industries. Details about DG in the banking sector, public administration, insurance companies, healthcare and telecommunications each are presented in one chapter. The book is aimed at academics, researchers and practitioners (especially CIOs, Data Governors, or Data Stewards) involved in DG. It can also serve as a reference for courses on data governance in information systems.

ISBN: 9783031437731

Standard No.: 10.1007/978-3-031-43773-1doiSubjects--Topical Terms:

563681
Knowledge management.

LC Class. No.: HD30.2

Dewey Class. No.: 658.4038

Data governance = from the fundamentals to real cases /
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245 0 0 $a Data governance $h [electronic resource] : $b from the fundamentals to real cases / $c edited by Ismael Caballero, Mario Piattini.
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505 0 $a 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.
520 $a This book presents a set of models, methods, and techniques that allow the successful implementation of data governance (DG) in an organization and reports real experiences of data governance in different public and private sectors. To this end, this book is composed of two parts. Part I on "Data Governance Fundamentals" begins with an introduction to the concept of data governance that stresses that DG is not primarily focused on databases, clouds, or other technologies, but that the DG framework must be understood by business users, systems personnel, and the systems themselves alike. Next, chapter 2 addresses crucial topics for DG, such as the evolution of data management in organizations, data strategy and policies, and defensive and offensive approaches to data strategy. Chapter 3 then details the central role that human resources play in DG, analysing the key responsibilities of the different DG-related roles and boards, while chapter 4 discusses the most common barriers to DG in practice. Chapter 5 summarizes the paradigm shifts in DG from control to value creation. Subsequently chapter 6 explores the needs, characteristics and key functionalities of DG tools, before this part ends with a chapter on maturity models for data governance. Part II on "Data Governance Applied" consists of five chapters which review the situation of DG in different sectors and industries. Details about DG in the banking sector, public administration, insurance companies, healthcare and telecommunications each are presented in one chapter. The book is aimed at academics, researchers and practitioners (especially CIOs, Data Governors, or Data Stewards) involved in DG. It can also serve as a reference for courses on data governance in information systems.
650 0 $a Knowledge management. $3 563681
650 0 $a Management information systems. $3 528143
650 1 4 $a Data Engineering. $3 3409361
650 2 4 $a Computer Application in Administrative Data Processing. $3 3594379
650 2 4 $a Computers and Society. $3 891253
650 2 4 $a Corporate Governance. $2 swd $3 1246506
700 1 $a Caballero, Ismael. $3 3756145
700 1 $a Piattini, Mario. $3 2145320
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-43773-1
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)