The book, aimed at academics, researchers and professionals involved in data governance (CIOs, Data Governors or Data Stewards), is divided into two parts:
LThe first part presents the fundamentals of data governance through the main existing models, methods, techniques and tools.
The second part presents various concrete experiences of data governance in different public and private sectors.
Among the chapters of the book, written by different authors, there is a chapter on maturity models for data governance written by our colleagues from AQCLab and DQTeam Moisés Rodríguez and Fernando Gualo, together with the aforementioned Mario Piattini and Ismael Caballero. This chapter presents the best-known data governance maturity models, such as DAMA, DMM, DCAM or the Aiken, IBM, Gartner models, with special emphasis on the Alarcos Data Maturity Model (MAMD).
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