Data in Context: Models as Enablers for Managing and Using Data

This book combines scientific and pragmatic theories to model data effectively and provides a coherent overview from a business and IT/ICT perspective. It focuses on understanding data, managing data as an asset, and presenting conclusions based on a synthesis of Part I and Part II. It is written for a broad audience, including professionals and students, and includes reflection questions to benefit both groups.

Format: Paperback / softback
Length: 217 pages
Publication date: 01 August 2023
Publisher: Springer International Publishing AG

Data is becoming increasingly valuable for numerous organizations, and this book offers valuable insights into effective data modeling techniques. By combining scientific and pragmatic theories, including semiotics, relational models, and the DAMA wheel, it provides a comprehensive overview from both a business and IT/ICT perspective.

The book begins with a brief introduction, followed by three main parts. In Part I, "Data," the focus is on understanding data, encompassing theories such as semiotics, the relational model, and normalization. Additionally, it delves into designing sound data structures and explores the concept of create versus use context. Part II, "Data Management," builds upon the previous section by emphasizing the management of data as an asset. Each functional area of data management is discussed in separate chapters, drawing from the DMBOK framework. Part III, "Parting Thoughts," synthesizes the insights from Parts I and II, leading to a summary of the book's main contributions and a critical reflection on these findings.

Designed for a broad audience, including professionals and students from various fields such as business, computer science, and information management, the book adopts a writing style tailored to these groups. At the end of each chapter, reflection questions are included to cater to both practitioners and students, aiding in their comprehension and benefiting from the book's content.

In conclusion, this book is a valuable resource for anyone seeking to leverage data as a strategic asset within their organization. By combining scientific and pragmatic approaches, it provides a comprehensive framework for modeling data and managing it effectively, making it an essential read for professionals and students alike.

Weight: 436g
Dimension: 170 x 246 x 16 (mm)
ISBN-13: 9783031355387
Edition number: 1st ed. 2023