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    Data and Analytics Strategy for Business

Data and Analytics Strategy for Business

Simon Asplen-Taylor
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      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

      Format: Paperback / softback CONTRIBUTORS: Simon Asplen-Taylor EAN: 9781398622012 COUNTRY: United Kingdom PAGES: 344 WEIGHT: 510 g HEIGHT: 234 mm
      PUBLISHED BY: Kogan Page Ltd DATE PUBLISHED: 2025-08-03 CITY: GENRE: BUSINESS & ECONOMICS / Business Ethics, BUSINESS & ECONOMICS / Strategic Planning, COMPUTERS / Data Science / Data Analytics WIDTH: 156 mm SPINE:

      Book Themes:

      Data science and analysis: general, Business strategy

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      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.

      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

      Format: Paperback / softback CONTRIBUTORS: Simon Asplen-Taylor EAN: 9781398622012 COUNTRY: United Kingdom PAGES: 344 WEIGHT: 510 g HEIGHT: 234 mm
      PUBLISHED BY: Kogan Page Ltd DATE PUBLISHED: 2025-08-03 CITY: GENRE: BUSINESS & ECONOMICS / Business Ethics, BUSINESS & ECONOMICS / Strategic Planning, COMPUTERS / Data Science / Data Analytics WIDTH: 156 mm SPINE:

      Book Themes:

      Data science and analysis: general, Business strategy

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      Be the first to write a review
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      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.

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