This is the first of its kind book that describes key elements of enterprise data and analytics strategy, and prescribes a pragmatic approach to define the strategy for large enterprises. The book is based on successful digital transformation experience of multiple Fortune 500 and other large enterprises. It is estimated that more than 50% of data and analytics initiatives fail globally because of the inherent complexity of such initiatives. Some of the questions that enterprises struggle with are: How to define enterprise data and analytics strategy? What are the key elements that should be considered while doing so? Why one-size-fits-all approach does not work for all enterprises? How to align data and analytics initiative with the business strategy of the CEO? How to establish a futuristic technology and architecture foundation, given the exponential rate of innovation in data and analytics technologies? How to define the right data and analytics organization model? Why data and analytics organization and processes need to be different from other functions? How to manage organizational change to ensure success of data and analytics initiative? How to define a business value measurement framework and calculate ROI from data and analytics initiative? What are the key skills required in a data and analytics leader to wade through political and other challenges of a large enterprise? This book will help executives, chief digital/analytics officers, data and analytics professionals, and consultants, in answering the above questions. It will help them in addressing various dilemmas that they face every day and making their enterprises data-driven.

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

Autorentext

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. Linked-in profile: https://www.linkedin.com/in/prakash-sah-9581964/

Inhalt

• 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