Martin Treder – Becoming a data-driven Organisation PDF Download

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Martin Treder – Becoming a data-driven Organisation Details

  • Title: Becoming a data-driven Organisation
  • Genre: Computers
  • Author: Martin Treder
  • Release: October 18, 2019
  • Publisher: Springer Berlin Heidelberg

Becoming a data-driven Organisation – Martin Treder Overview

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Becoming a data-driven Organisation DATA is the foundation of any market transformation during the digital era we are part of. Companies are expected to reorient themselves or to disappear. However, following assessments by Gartner and Forrester during the past two years, only a small fraction of all enterprises are already adequately addressing the handling of data. Yet, business leaders are becoming 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. What you get with this book This book aims at bringing the topic of Data and its commercial usage to the attention of you as a decision maker. 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 your organisation. About the Author Martin 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.

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