Data and Analytics Strategy for Business: Unlock Data Assets and Increase Innovation with a Results-Driven Data Strategy

Simon Asplen-Taylor

ISBN 10: 139862201X / ISBN 13: 9781398622012

Published by Kogan Page Ltd, 2025

About this Item

New copy - Usually dispatched within 4 working days.

Seller Inventory # B9781398622012

Bibliographic Details

• Title: Data and Analytics Strategy for Business: Unlock Data Assets and Increase Innovation with a Results-Driven Data Strategy
• Publisher: Kogan Page Ltd
• Publication Date: 2025
• Language: English
• ISBN 10: 139862201X
• ISBN 13: 9781398622012
• Binding: Paperback / softback
• Edition: 2nd Edition
• Condition: New
• Weight: 510 grams

About this title

Synopsis

Struggling to convert your data, analytics and AI strategy into business value?

Data and Analytics Strategy for Business by Simon Asplen-Taylor is an essential guide for CDOs, CAIOs, CIOs and CTOs seeking to deliver measurable results from data investments. Focused on aligning data, analytics and AI with strategic goals, this book helps leaders move from initial implementation to transformation.

Fully updated with the latest AI developments, it provides practical tools and real-world insights to accelerate implementation, drive adoption and optimize performance across the organization.

You'll learn how to:
- Align data, analytics and AI to strategic business outcomes
- Build trust through data quality, governance and transparency
- Integrate AI and ML Secure executive and organizational buy-in for long-term success
- Learn from real-world examples including Tesco and Facebook

With guidance grounded in real results, Data and Analytics Strategy for Business helps senior leaders lead smarter, execute faster and unlock enterprise-wide impact.

Themes include: data strategy, AI adoption, analytics leadership, digital transformation, data governance, performance optimization

About the Author

Simon Asplen-Taylor is the founder and CEO of VALSTR, a leading data, analytics and AI consultancy. He was the UK's first Chief Data Officer (CDO) and previously served as CDO for multiple FTSE firms including Bupa and led some of the largest data-led transformations in Europe. He is a Fellow of the Royal Statistical Society and serves on their AI Taskforce. In 2023, CEO Magazine named him Most Influential Data Analytics CEO and in 2025, he was awarded a Top 100 Influential People award. He is based in London, UK.