Skip to main content
SpringerLink
Log in

Defining Enterprise Data and Analytics Strategy

Pragmatic Guidance on Defining Strategy Based on Successful Digital Transformation Experience of Multiple Fortune 500 and Other Global Companies

  • Book
  • © 2022

Overview

Authors:
  1. Prakash Sah

    1. Data & Analytics, Tata Consultancy Services, Thane, India

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • 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

Part of the book series: Management for Professionals (MANAGPROF)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 49.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 64.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 89.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (7 chapters)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. What Is Data and Analytics Strategy

    • Prakash Sah
    Pages 1-7

  3. First Element of Strategy—Business Capabilities

    • Prakash Sah
    Pages 9-36

  4. Second Element of Strategy—Technology and Architecture

    • Prakash Sah
    Pages 37-56

  5. Third Element of Strategy—Team, Processes, and Governance

    • Prakash Sah
    Pages 57-80

  6. Fourth Element of Strategy—Organizational Change Management

    • Prakash Sah
    Pages 81-125

  7. Fifth Element of Strategy—Value Measurement Framework

    • Prakash Sah
    Pages 127-159

  8. The Profile of a Data and Analytics Leader

    • Prakash Sah
    Pages 161-174
Back to top

Keywords

About this book

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.

Authors and Affiliations

  • Data & Analytics, Tata Consultancy Services, Thane, India

    Prakash Sah

About the author

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/

Bibliographic Information

  • Book Title: Defining Enterprise Data and Analytics Strategy

  • Book Subtitle: Pragmatic Guidance on Defining Strategy Based on Successful Digital Transformation Experience of Multiple Fortune 500 and Other Global Companies

  • Authors: Prakash Sah

  • Series Title: Management for Professionals

  • DOI: https://doi.org/10.1007/978-981-19-5719-2

  • Publisher: Springer Singapore

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022

  • Hardcover ISBN: 978-981-19-5718-5Published: 07 November 2022

  • Softcover ISBN: 978-981-19-5721-5Published: 08 November 2023

  • eBook ISBN: 978-981-19-5719-2Published: 06 November 2022

  • Series ISSN: 2192-8096

  • Series E-ISSN: 2192-810X

  • Edition Number: 1

  • Number of Pages: XV, 174

  • Number of Illustrations: 33 b/w illustrations, 6 illustrations in colour

  • Topics: Business Strategy/Leadership, Statistics, general, Enterprise Architecture, Big Data, Business Process Management, Applied Statistics

Publish with us

Policies and ethics

Back to top

Search

Navigation