Simon Asplen-Taylor

Data and Analytics Strategy for Business (eBook, ePUB)

Leverage Data and AI to Achieve Your Business Goals

• Format: ePub

Produktbeschreibung

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

Produktdetails

• Verlag: Kogan Page eBook
• Seitenzahl: 344
• Erscheinungstermin: 3. August 2025
• Englisch
• ISBN-13: 9781398622029
• Artikelnr.: 75122928

Autorenporträt

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.

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.