Coach your organization for data-driven change and condition it to attain excellence in its data capabilities, mindset and performance with this guide for data leaders.
Coach your organization for data-driven change and condition it to attain excellence in its data capabilities, mindset and performance with this guide for data leaders.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Roberto B. Maranca is one of the most respected and influential senior data leaders in business today. He is the Data Excellence Vice President at Schneider Electric and has held previous roles as the Group Data Officer for Lloyds Banking Group and Chief Data Officer at General Electric. Maranca has successfully led large-scale data driven change, business transformation, regulatory compliance and business integration, operational risk frameworks, IT strategies and services, technology roadmaps, and vendors. He has been listed multiple times as one of Data IQ 100's most influential people in data and is a regular keynote speaker at leading data and business conferences. He is based in London, the UK.
Inhaltsangabe
Chapter 00: Introduction the data leader as personal trainer; Chapter 01: The emerging need for data and the role of the data trainer; Chapter 02: The training for Data Excellence approach; Section PART ONE: Pillar I Strategies and tactics for cultural change Chapter 03: Data goes viral; Chapter 04: Interlocking with control functions; Chapter 05: Introducing data roles; Chapter 06: Data disciplines; Chapter 07: Data fitness assessment; Chapter 08: Exercise: Strategic initiatives independency analysis Section PART TWO: Pillar II How to change the way change is done; Chapter 09: Data Excellence operating model; Chapter 10: Establishing the enabling capabilities such as metadata, quality and retention; Chapter 11: Data risks and control environment; Chapter 12: Exercise writing the right data consumer stories Section PART THREE: Pillar III Generating (and sustaining) value Chapter 13: Data productization and agile methodologies; Chapter 14: Data valuation models; Chapter 15: Advanced data business case; Chapter 16: Data supply chain assurance; Chapter 17: ESG and CSR value proposition; Chapter 18: Exercise calculating return on investment for a data program Chapter 19: Conclusions
Chapter 00: Introduction the data leader as personal trainer; Chapter 01: The emerging need for data and the role of the data trainer; Chapter 02: The training for Data Excellence approach; Section PART ONE: Pillar I Strategies and tactics for cultural change Chapter 03: Data goes viral; Chapter 04: Interlocking with control functions; Chapter 05: Introducing data roles; Chapter 06: Data disciplines; Chapter 07: Data fitness assessment; Chapter 08: Exercise: Strategic initiatives independency analysis Section PART TWO: Pillar II How to change the way change is done; Chapter 09: Data Excellence operating model; Chapter 10: Establishing the enabling capabilities such as metadata, quality and retention; Chapter 11: Data risks and control environment; Chapter 12: Exercise writing the right data consumer stories Section PART THREE: Pillar III Generating (and sustaining) value Chapter 13: Data productization and agile methodologies; Chapter 14: Data valuation models; Chapter 15: Advanced data business case; Chapter 16: Data supply chain assurance; Chapter 17: ESG and CSR value proposition; Chapter 18: Exercise calculating return on investment for a data program Chapter 19: Conclusions
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