Data Governance

From the Fundamentals to Real Cases

Inbunden, Engelska, 2023

2 009 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

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.

Produktinformation

Utgivningsdatum2023-12-28
Mått155 x 235 x 21 mm
Vikt571 g
FormatInbunden
SpråkEngelska
Antal sidor241
FörlagSpringer International Publishing AG
ISBN9783031437724

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Informationsteknik: allmänt inom Data och it
Databaser inom Data och it
Affärsförhandlingar inom Ekonomi och ledarskap

Ismael Caballero is Professor with the Information Systems and Technologies Department at the University of Castilla-La Mancha (UCLM, Spain). His research interests are in the areas of Data Quality Management and Data Governance. He has published more than 75 papers in journals and conferences and has also participated in the organization of several scientific events related to data quality management and data governance. He is Head of the "Data Governance and Data Management Program" of UCLM in collaboration with DAMA Spain to prepare students for DAMA's Certified Data Management Professional. He also participated in the development of several ISO standards related to the area, like the ISO 8000-60 series on data quality management processes or in the Spanish National Standards (UNE) Specifications UNE 0077 (Data Governance), UNE 0078 (Data Management), UNE 0079 (Data Quality Management), UNE 0080 (Data Maturity Evaluation) and UNE 0081 (Data Quality Evaluation). He is one of the founders and partners of the Spinoff DQTeam, specialized in data quality and data governance.Mario Piattini is Professor of Computer Languages and Systems at UCLM, and Director of the Alarcos Research Group, focusing on the quality of information systems. He is the founder of several spinoffs including AQCLab, the only international accredited laboratory for data quality assessment, and DQTeam, a consulting firm specializing in data governance and data quality. Mario is recognized among the World’s ten best computer science researchers in 2021, according to the ranking drawn up by Research.com, and appears on the Stanford University list of the world’s most widely cited scientists. He has participated in several in the development of several ISO standards, as well as in the development of the Spanish National Standards (UNE) Specifications UNE 0077 (Data Governance), UNE 0078 (Data Management), UNE 0079 (Data Quality Management), UNE 0080 (Data Maturity Evaluation)and UNE 0081 (Data Quality Evaluation).

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.