Data and Analytics Strategy for Business
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Data and Analytics Strategy for Business
Data and Analytics Strategy for Business
Design, implement and execute a data strategy that harnesses AI with this guide to driving innovation and creating value.
Data presents a tremendous opportunity for businesses to increase revenue, reduce costs, mitigate risks, and improve customer satisfaction. An effective data strategy leveraging AI allows businesses to take advantage of the data they have.
Data and Analytics Strategy for Business is a practical guide for senior data leaders building a strategy for their organisation. Starting with identifying the kind of data projects that reflect their company's goals and mission, it explains in detail how leaders can get buy-in for these projects from the rest of the organisation. With an emphasis on sourcing and identifying quality data, reporting and developing dashboards, using AI, understanding ethical considerations, and better serving customers, 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 maximise performance. Filled with real-world examples from organisations including Tesco, Transport for London, and Bupa, this book is a step-by-step guide to designing and implementing a results-driven data strategy.
Book Details
INFORMATION
ISBN: 9781398622012
Publisher: Kogan Page Ltd
Format: Paperback / softback
Date Published: 03 August 2025
Country: United Kingdom
Imprint: Kogan Page Ltd
Edition: 2nd Revised edition
Audience: General / adult, Tertiary education, Professional and scholarly
DIMENSIONS
Width: 156.0mm
Height: 234.0mm
Weight: 0g
Pages: 328
About the Author
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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