- Explains for senior leaders how to improve business performance through the use of data and AI
- Uses the five "waves" of data maturity to show how businesses can take advantage of their data and build a data strategy
- Demonstrates how to select the right data projects to maximize value with real-world examples from Tesco and Transport for London
- New to this edition: Incorporates the latest development AI that will impact the world of data and analytics and shows businesses how to implement AI effectively
- Provides guidance on data ethics, data integrity, and data governance
Data and Analytics Strategy for Business
Leverage Data and AI to Achieve Your Business Goals
Design, implement and execute a data strategy that harnesses AI with this guide to driving innovation and creating value.
Key features at a glance
EAN: 9781398622012
Edition: 2
Published:
Format: 234x156
328 pages
About the book
Data and AI present a tremendous opportunity to improve business performance by increasing operational efficiency, revenues, and customer satisfaction. An effective data strategy leveraging the power of AI allows businesses to create a competitive advantage.
Data and Analytics Strategy for Business is a practical guide for business, technology and data leaders building a data, analytics and AI strategy for their organization. Starting by identifying the value you can obtain from data, analytics and AI, this book shows you how to maximise that value to support your organization's goals and mission. It covers the importance of having high quality data to generate trust, getting the whole organization on board as well as all the other essential elements required to complete your strategy. This book provides the keys to using data to drive improved business results.
Incorporating the latest developments in AI, this new edition of Data and Analytics Strategy for Business shows how leaders can use AI right away to get value from their existing strategy. It provides practical guidance and recommendations for implementing AI and machine learning to maximize performance. Filled with real-world examples from organizations including Tesco and Transport for London, this book is a step-by-step guide to designing and implementing a results-driven data strategy.
About the authors
Simon Asplen-Taylor is the founder and CEO of DataTick, a leading data, analytics and AI consultancy and was the first Chief Data Officer in the UK. He previously served as Chief Data Officer for multiple FTSE firms including Bupa, UBS, Tesco and Regus and led some of the largest data led transformations in Europe. He is a Fellow of the Royal Statistical Society (RSS) and serves on the RSS's AI Taskforce. In 2023, he was named by CEO Magazine as Most Influential Data Analytics CEO. He is based in London, UK.
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