Simon Asplen-Taylor

Data and Analytics Strategy for Business

Leverage Data and AI to Achieve Your Business Goals

• Broschiertes Buch

Produktbeschreibung

Design, implement and execute a data strategy that harnesses AI with this guide to driving innovation and creating value.

Produktdetails

• Verlag: Kogan Page Ltd
• Artikelnr. des Verlages: 16739
• 2 Revised edition
• Seitenzahl: 344
• Erscheinungstermin: 3. August 2025
• Englisch
• Abmessung: 234mm x 156mm x 22mm
• Gewicht: 514g
• ISBN-13: 9781398622012
• ISBN-10: 139862201X
• Artikelnr.: 71827514

Autorenporträt

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.

Inhaltsangabe

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;

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• 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

Rezensionen

"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.