Ulteriori informazioni
Discover how to approach data leadership in a way that will steer organizations to deliver effective, improved and sustained data performance in the era of AI.
Data Excellence shows how data leaders can strategize and deliver effective data capabilities, value generation and performance for their organization amid the rapid transformation driven by AI and digital disruption. It covers the three key pillars organizations must address to achieve data excellence: culture change, improving the way change is done and generating, measuring and sustaining data value for the organization. The book also provides guidance on positioning data leaders as personal trainers, responsible for preparing and coaching their organization to professional excellence through tailoring a long-term and sustainable performance plan. Roberto Maranca draws on his extensive experience to demonstrate that true data leadership transcends technology hype. Featuring key components such as data fitness assessments, data debt evaluation, the Data Excellence Operating Model (DeXOM) and real-world examples, senior executives will learn how to navigate evolving regulatory landscapes, ethical challenges and accelerating technological change while ensuring data initiatives deliver measurable outcomes. Data Excellence equips leaders to confidently guide their companies through the complexities of a data-driven world, harnessing AI's potential responsibly and effectively to create lasting competitive advantage and societal impact.
Sommario
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
Info autore
Roberto M Maranca is currently Data Officer for the Energy Management Business of Schneider Electric and prior to that, held C-suite leadership roles as the Group Data Officer for Lloyds Banking Group and Chief Data Officer at General Electric. 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, UK.
Riassunto
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.
