Corporate Data Quality

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Corporate Data Quality

Prerequisite for Successful Business Models

Knowledge management

Authors: Boris Otto, Hubert Osterle

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Language: English

Published by: epubli

Published on: 8th December 2015

Format: LCP-protected ePub

Size: 3 Mb

ISBN: 9783737575935


Data and Its Importance

Data is the foundation of the digital economy. Industry 4.0 and digital services are producing so far unknown quantities of data and make new business models possible. Under these circumstances, data quality has become the critical factor for success. This book presents a holistic approach for data quality management and presents ten case studies about this issue. It is intended for practitioners dealing with data quality management and data governance as well as for scientists.

About the Authors and Context

The book was written at the Competence Center Corporate Data Quality (CC CDQ) in close cooperation between researchers from the University of St. Gallen and Fraunhofer IML as well as many representatives from more than 20 major corporations.

Chapter 1: Data in Business and Society

Chapter 1 introduces the role of data in the digitization of business and society and describes the most important business drivers for data quality. It presents the Framework for Corporate Data Quality Management and introduces essential terms and concepts.

Chapter 2: Practical Examples

Chapter 2 presents practical, successful examples of the management of the quality of master data based on ten case studies that were conducted by the CC CDQ. The case studies cover every aspect of the Framework for Corporate Data Quality Management.

Chapter 3: Tools for Data Quality Management

Chapter 3 describes selected tools for master data quality management. The three tools have been distinguished through their broad applicability (method for DQM strategy development and DQM maturity assessment) and their high level of innovation (Corporate Data League).

Chapter 4: Success Factors and Action Checklist

Chapter 4 summarizes the essential factors for the successful management of the master data quality and provides a checklist of immediate measures that should be addressed immediately after the start of a data quality management project. This guarantees a quick start into the topic and provides initial recommendations for actions to be taken by project and line managers.

Please also check out the book's homepage at cdq-book.org/

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