
Data Means Business
A practical guide to creating value from data and AI
Rethink Press
2nd Edition
Published on 25. March 2025
Book
Paperback/Softback
298 pages
978-1-78133-915-2 (ISBN)
Description
As a forward-thinking business leader, do you know how to make best use of data and AI, to improve your business and act strategically and decisively?
This fully updated second edition of Data Means Business is a comprehensive and pragmatic guide for leaders that sets out a proven approach for developing the mindset and strategies required to generate value from data and AI. Jargon-free and packed with the latest practical advice, examples and real stories, Data Means Business will help you start or scale successfully and deliver positive impact.
Read this book to:
Understand the impact and value delivered by data and AI
Define a data, AI and technology strategy that is aligned to your business
Build robust foundations for data and AI
Create a culture of using data and AI to drive decision-making
Have an approach that focuses on scaling results
More details
Edition
2nd Edition of the book called Data Means Business
Language
English
Place of publication
United Kingdom
Target group
Professional and scholarly
Edition type
New edition
Dimensions
Height: 216 mm
Width: 140 mm
Thickness: 16 mm
Weight
378 gr
ISBN-13
978-1-78133-915-2 (9781781339152)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition

Jason Foster | Barry Green
Data Means Business
Level up your organisation to adapt, evolve and scale in an ever-changing world
Book
03/2021
Rethink Press
€24.90
Article exhausted; check for reprint
Persons
Jason is a best-in-class data strategist who has helped hundreds of organisations to activate their data and technology to drive change. He is host of the 'Hub and Spoken' podcast, Founder and CEO at Cynozure and has been recognised as one of the most influential people in data.