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For many organizations data is a by-product, but for the smarter ones it is the heartbeat of their business. Most businesses have a wealth of data buried in their systems which, if used effectively, could increase revenue, reduce costs and risk and improve customer satisfaction and employee experience.
Beginning with how to choose projects which reflect your organization's goals and how to make the business case for investing in data, this book then takes the reader through the five 'waves' of organizational data maturity. It takes the reader from getting started on the data journey with some quick wins, to how data can help your business become a leading innovator which systematically outperforms competitors.
Data and Analytics Strategy for Business outlines how to build consistent, high-quality sources of data which will create business value and explores how automation, AI and machine learning can improve performance and decision making. Filled with real-world examples and case studies, this book is a stage-by-stage guide to designing and implementing a results-driven data strategy.
List of contents
- Section - ONE: How data and analytics can help you grow your business;
- Chapter - 01: How can this book help you?;
- Chapter - 02: The business case for data;
- Chapter - 03: Your data and analytics strategy;
- Chapter - 04: A team game;
- Section - TWO: Wave 1 - Aspire;
- Chapter - 05: A quick win;
- Chapter - 06: Repeat and learn;
- Section - THREE: Wave 2 - Mature;
- Chapter - 07: Data governance;
- Chapter - 08: Data quality;
- Chapter - 09: A single customer view;
- Chapter - 10: Reports and dashboards;
- Chapter - 11: Data risk management and ethics;
- Section - PART FOUR: Wave 3 - Industrialize;
- Chapter - 12: Automation, automation, automation;
- Chapter - 13: Scaling up and scaling out;
- Chapter - 14: Optimizing;
- Section - PART FIVE: Wave 4 - Realize;
- Chapter - 15: The voice of the customer;
- Chapter - 16: Maximizing data science;
- Chapter - 17: Sharing data with suppliers and customers;
- Section - PART SIX: Wave 5 - Differentiate;
- Chapter - 18: From data-driven to AI-driven;
- Chapter - 19: Data products;
- Chapter - 20: Right leadership, right time;
- Chapter - 21: Epilogue - Data success
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.
Report
"In my experience taking people somewhere they've not been before requires leadership and trust, whether that's climbing Everest or making a success of your business through the use of data and analytics. In Data and Analytics Strategy for Business, Simon cuts through the jargon and provides a clear route for success." Kenton Cool has completed 15 successful Everest summits and led Sir Ranulph Fiennes' 2008 and 2009 Expeditions.
