Data as the Fourth Pillar: An Executive Guide for Scaling AI
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.

1147109134
Data as the Fourth Pillar: An Executive Guide for Scaling AI
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.

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Data as the Fourth Pillar: An Executive Guide for Scaling AI

Data as the Fourth Pillar: An Executive Guide for Scaling AI

Data as the Fourth Pillar: An Executive Guide for Scaling AI
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Data as the Fourth Pillar: An Executive Guide for Scaling AI

Data as the Fourth Pillar: An Executive Guide for Scaling AI

Overview

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.

Product Details

ISBN-13: 9781032835990
Publisher: CRC Press
Publication date: 08/27/2025
Pages: 224
Product dimensions: 6.12(w) x 9.19(h) x (d)

About the Author

Sujay Dutta is a seasoned technology and business leader with 25+ years of global experience. He believes the future is being shaped at the intersection of AI, Business outcomes, Culture, and Data ("A.B.C.D."). He is passionate about helping organizations leverage data and AI at scale, to accelerate business impact. Throughout his career, Sujay has worked with top technology innovators such as Databricks, Informatica, and SAP, as well as leading IT services firms including Capgemini, Harman Connected Services, HCL Technologies, and Tata Consultancy Services. Having lived and worked across India, the USA, and Europe, Sujay brings a global perspective and expertise that spans Data and AI strategy and execution, making him a trusted advisor to C-suite executives and business leaders worldwide.

Siddharth (Sidd) Rajagopal is a Chief Architect in the Field CTO Organization at Informatica. In his role, he engages with senior executives at enterprise providing thought leadership around data and data management by sharing his insights and learnings. Prior to this, he worked as a Consultant and Architect in various large data management programs at Cognizant and Accenture. He lives in the Netherlands with his family.

Table of 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

 

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