Overview
- Explains why systematically turning data into commercial value should be high on every CEO's agenda
- Helps an organisation’s leadership tailor a sustainable Data Office
- Supports an organisation’s journey from first thoughts to the onboarding of a Chief Data Officer, through a hands-on approach
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Table of contents (4 chapters)
Keywords
About this book
Yet, more and more business leaders have become aware of the topic. They recognize the increasing relevance of data, and the need to act now. Those leaders will welcome this book as it guides them through the first steps in their journey towards a data-driven organisation.
This book brings the topic of Data and its commercial usage to the attention of a broad range of business leaders. It encourages you to get engaged, by explaining in a non-technical way what data comprises, which opportunities wait to get discovered and, most importantly, how to prepare and launch the introduction of a Data Office in a company.
Authors and Affiliations
About the author
While being a studied Mathematician (main topics Operations Research and Applied Statistics), Martin has always focused on creating long-term commercial value through well-managed data, and on shaping a data-driven culture.
Martin is also a sought-after speaker and panellist at international congresses, on topics around data, digitalisation and analytics.
Bibliographic Information
Book Title: Becoming a data-driven Organisation
Book Subtitle: Unlock the value of data
Authors: Martin Treder
DOI: https://doi.org/10.1007/978-3-662-60304-8
Publisher: Springer Vieweg Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE, part of Springer Nature 2019
Softcover ISBN: 978-3-662-60303-1Published: 30 October 2019
eBook ISBN: 978-3-662-60304-8Published: 18 October 2019
Edition Number: 1
Number of Pages: XVII, 137
Number of Illustrations: 15 b/w illustrations
Topics: Input/Output and Data Communications, Data Structures, Computer Appl. in Administrative Data Processing, Management of Computing and Information Systems, Big Data