The Chief Data Officer Management Handbook: Set Up and Run an Organization's Data Supply Chain

內容描述

There is no denying that the 21st century is data driven, with many digital industries relying on careful collection and analysis of mass volumes of information. A Chief Data Officer (CDO) at a company is the leader of this process, making the position an often daunting one. The Chief Data Officer Management Handbook is here to help.
With this book, author Martin Treder advises CDOs on how to be better prepared for their swath of responsibilities, how to develop a more sustainable approach, and how to avoid the typical pitfalls. Based on positive and negative experiences shared by current CDOs, The Chief Data Officer Management Handbook guides you in designing the ideal structure of a data office, implementing it, and getting the right people on board.
Important topics such as the data supply chain, data strategy, and data governance are thoughtfully covered by Treder. As a CDO it is important to use your position effectively with your entire team. The Chief Data Officer Management Handbook allows all employees to take ownership in data collaboration. Data is the foundation of present and future tech innovations, and you could be the leader that makes the next big impact.

What You Will Learn

Apply important elements of effective data management
Gain a comprehensive overview of all areas of data (which are often managed independently
Work with the data supply chain, from data acquisition to its usage, a review of all relevant stakeholders, data strategy, and data governance

Who This Book is For
CDOs, data executives, data advisors, and all professionals looking to understand about how a data office functions in an organization.

作者介紹

Martin Treder is a seasoned, hands-on data executive and advisor with 25 years of experience in international corporations. During the past decade, Martin established and led the international data management organisations of DHL Express, TNT Express, and FedEx Express, covering the areas of 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-governed data, and on shaping a data-conscious culture. Today he helps companies transform into data-driven organizations.