Simon Asplen-Taylor

Data and Analytics Strategy for Business

Leverage Data and AI to Achieve Your Business Goals

• Gebundenes Buch

Produktbeschreibung

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

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Produktdetails

• Verlag: Kogan Page Ltd
• Seitenzahl: 328
• Erscheinungstermin: 3. August 2025
• Englisch
• Abmessung: 234mm x 156mm
• ISBN-13: 9781398622036
• ISBN-10: 1398622036
• Artikelnr.: 71827083

Autorenporträt

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. He In 2023, he was named by CEO Magazine as Most Influential Data Analytics CEO. He is based in London, UK.

Inhaltsangabe

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

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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.