Prakash Sah has three decades of multi-faceted consulting and leadership experience in data and analytics. His experience spans across multiple industries and cultures. While working in 13 different countries, he helped CXOs and other leaders of many Fortune 500 companies in defining their enterprise data and analytics vision, strategy, and roadmap.

Prakash has been invited as speaker/panelist at various international conferences and innovation events. He has also been delivering guest lectures at few B Schools. He has been mentoring many students and professionals in academia and industry respectively. He has authored various papers and articles on enterprise data and analytics.

Prakash is a mechanical engineer from IIT Kharagpur and an MBA from IIM Calcutta - two premier institutes in India. He is currently working as Managing Partner at TCS (Tata Consultancy Services), one of the world's leading consulting and IT services MNC. Prakash isbased out of Thane in Mumbai metropolitan region, India, where he stays with his wife and two daughters.

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First book in the world that provides pragmatic approach to define enterprise data and analytics strategy

Prescribes how to lay down data and analytics foundation that forms the core of enterprise digital transformation

Gives pragmatic guidance on driving organizational change management to succeed in a data and analytics initiative

Describes a comprehensive framework to measure business value and ROI from data and analytics initiative

Explains skills required in data and analytics leader to wade through political/other challenges of a large enterprise

• Chapter 1: What is Data and Analytics Strategy
• Chapter 2: First Element of Strategy - Business Capabilities
• Chapter 3: Second Element of Strategy - Technology and Architecture
• Chapter 4: Third Element of Strategy - Team, Processes and Governance
• Chapter 5: Fourth Element of Strategy - Organizational Change Management
• Chapter 6: Fifth Element of Strategy - Value Measurement Framework
• Chapter 7: The profile of a Data and Analytics Leader