Asplen-Taylor Data and Analytics Strategy for Business

Leverage Data and AI to Achieve Your Business Goals
2. Auflage 2025
ISBN: 978-1-3986-2202-9
Verlag: Kogan Page
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 344 Seiten, Accessible EPUB

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 Facebook, this book is a step-by-step guide to designing and implementing a results-driven data strategy.

Autoren/Hrsg.

Asplen-Taylor, Simon

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Strategisches Management
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

Section - ONE: How data, analytics and AI 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: AI strategy; Chapter - 05: A team game; Section - TWO: Wave 1 - aspire; Chapter - 06: A quick win; Chapter - 07: Repeat and learn; Section - THREE: Wave 2 - mature; Chapter - 08: Data governance; Chapter - 09: Data quality; Chapter - 10: Single customer view; Chapter - 11: Generating insights; Chapter - 12: Data risk management and ethics; Section - FOUR: Wave 3 - industrialize; Chapter - 13: Automation, automation, automation; Chapter - 14: Scaling up and scaling out; Chapter - 15: Data and AI culture; Section - FIVE: Wave 4 - realize; Chapter - 16: The voice of the customer; Chapter - 17: Maximizing data science and AI; Chapter - 18: Sharing data with suppliers and customers; Section - Six: Wave 5 - differentiate; Chapter - 19: Data products; Chapter - 20: Right leadership, right time; Chapter - 21: Epilogue - data and AI success; Chapter - 22: Glossary;

Über Autor(innen)

Asplen-Taylor, Simon
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.

Simon Asplen-Taylor is the founder and CEO of VALSTR, 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.