Becoming a Data-Driven Organisation: Unlock the Value of Data (Paperback)

Becoming a Data-Driven Organisation: Unlock the Value of Data By Martin Treder Cover Image

Becoming a Data-Driven Organisation: Unlock the Value of Data (Paperback)

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Data is the foundation of any current and future market transformation during this digital era. Companies are expected to adjust or to disappear. However, following assessments by Gartner and Forrester during the past two years, only a small fraction of all enterprises has adequately addressed the handling of data so far.
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.
Martin Treder is a seasoned Data Executive with 25 years of experience in international corporations. During the past decade, Martin established and led Data Management organisations at DHL Express, TNT Express and FedEx Express International. He covered data areas as diverse as Data Governance, Masterdata Management, Data Modelling, Data Quality, Data Science and Data Analytics.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.
Product Details ISBN: 9783662603031
ISBN-10: 3662603039
Publisher: Springer Vieweg
Publication Date: October 30th, 2019
Pages: 137
Language: English