图书简介
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 LearnApply important elements of effective data managementGain a comprehensive overview of all areas of data (which are often managed independentlyWork with the data supply chain, from data acquisition to its usage, a review of all relevant stakeholders, data strategy, and data governanceWho This Book is ForCDOs, data executives, data advisors, and all professionals looking to understand about how a data office functions in an organization.
Part 1: Designing an Effective Data Office.- Chapter 1: Understand Your Organization.- Chapter 2: Aspects of Effective Data Management.- Chapter 3: The Data Supply Chain.- Chapter 4: Data Vision, Mission and Strategy.- Chapter 5: Masterdata Management.- Chapter 6: Data Governance.- Chapter 7: The Data Language.- Chapter 8: Data Processes.- Chapter 9: Roles and Responsibilities.- Chapter 10: Data Quality.- Chapter 11: Shaping Data Office Teams.- Part 2: The Psychology of Data Management.- Chapter 12: Typical Challenges of a CDO.- Chapter 13: How (Not) to Behave as a CDO.- Chapter 14: Stakeholders.- Chapter 15: Psychology of Governance.- Part 3: Practical Aspects of Data Management.- Chapter 16: Data Business Cases.- Chapter 17: Data Ethics and Compliance.- Chapter 18: The Outside World.- Chapter 19: Handling Data.- Chapter 20: Analyzing Data.- Chapter 21: Data Management in Crises.- Chapter 22: Data in Mergers and Acquisitions.- Chapter 23: Data for Innovation.- Appendix: List of Theorems.- Bibliography:
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