Data as the Fourth Pillar

An Executive Guide for Scaling AI
1. Auflage 2025
ISBN: 978-1-032-84460-2
Verlag: Taylor & Francis Ltd

Buch, Englisch, 230 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g

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, this book 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 (EAV) through data to help measure the impact provided by the data pillar. This book also explores the symbiotic relationship between artificial intelligence (AI) and data, illustrating how both enable and benefit from each other. A case study by Rudiger Eck from Audi AG provides practical insights into the concepts and frameworks discussed.

This book is an essential resource for business executives in both small to medium businesses (SMBs) and large enterprises, helping them navigate a highly complex and hypercompetitive business landscape while accelerating business value for their stakeholder communities.

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Rajagopal, Siddharth

Dutta, Sujay

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Wirtschaftswissenschaften Betriebswirtschaft Management Wissensmanagement

Inhaltsverzeichnis

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

Über Autor(innen)

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.