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Full Description
Data as the Fourth Pillar reasons that data should be considered the Fourth Pillar of every enterprise, alongside people, processes, and technology. Aimed at Boards, CEOs, and CxOs, it provides a compelling case for why and how they should treat data as a strategic asset. It presents a comprehensive, success-by-design approach for enterprises, guiding them through a Maturity Framework to accelerate their data-centric journey.
This book addresses the "Why," the "What," and the "How" of achieving this goal in measurable terms. It introduces key performance indicators (KPIs) such as Total Addressable Value (TAV) and Expected Addressable Value through data (EAV) to help measure the impact provided by the data pillar. The book also explores the symbiotic relationship between AI and data, illustrating how both enable and benefit from each other. A case study by Rüdiger Eck from Audi AG provides practical insights into the concepts and frameworks discussed.
This book is an essential resource for business executives in both SMBs and large enterprises, helping them navigate a highly complex and hyper-competitive business landscape while accelerating business value for their stakeholder communities.
Contents
1. Why Must Enterprises Establish Data as the Fourth pillar for Leveraging AI at Scale? 2. Data as the Fourth Pillar: What Does it Mean, and What Does it Include? 3. Operationalizing Data as the Fourth Pillar: The Data Operating Model (DOM) 4. Maturity Journey for the Data Pillar 5. Visualizing the Future: An Autonomous Enterprise, with Data as the Lifeblood
