Transition to Advanced Analytics
eBook - ePub

Transition to Advanced Analytics

Get a Return on Your Analytics Investment

  1. 170 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Transition to Advanced Analytics

Get a Return on Your Analytics Investment

About this book

Amazon knows the products we're interested in and shows us more to boost the size of our shopping cart. Google Maps knows the best route to get from A to B and recommends it to get us there in the shortest possible time. Netflix knows the media we enjoy most and recommends more to boost streaming time. However, many companies still fall short with their data analytics practices.

This book focuses on how to embed advanced analytics directly into daily business operations and complement an enterprise system. This book can guide you in how traditional industries like retailers, banks and insurers can utilise and develop advanced analytics complementing their enterprise systems while embedding advanced analytics directly to optimise revenue and customer experience. Detailed in this book is a world-class analytics application used by loyalty point providers, banks, insurers and leading retailers.

The title also provides a step-by-step implementation framework for Chief Digital and Artificial Intelligence Offices to develop their advanced analytics capabilities in tandem with legacy IT systems.

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Yes, you can access Transition to Advanced Analytics by Jason Tan,Brian Ferris in PDF and/or ePUB format, as well as other popular books in Business & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Chapman and Hall/CRC
Year
2024
Print ISBN
9781032527550
eBook ISBN
9781040002698
Topic
Business
Subtopic
Computer Science General
Index
Business

Table of contents

  1. Cover Page
  2. Endorsements Page
  3. Half-Title Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Acknowledgements
  8. Chapter 1 ▪ Navigating the Transformative Landscape of AI
  9. Chapter 2 ▪ Adapting to Technological Shifts: The Evolution of Software, Data, Analytics and AI
  10. Chapter 3 ▪ Future-Proofing Organisations with Embedded Advanced Analytics
  11. Chapter 4 ▪ A Step-by-Step Framework for Embedding Advanced Analytics
  12. Chapter 5 ▪ Ensuring Your Advanced Analytics House Has a Solid Foundation
  13. Chapter 6 ▪ Understand Your Business – Moments That Matter
  14. Chapter 7 ▪ Build Credibility and Trusted Relationships to Unlock Value Opportunities
  15. Chapter 8 ▪ Build a Draft Approach and Share It to Build Support
  16. Chapter 9 ▪ Get Started Delivering Value
  17. Chapter 10 ▪ Communication, Ethics and Corporate Governance
  18. Chapter 11 ▪ Measure, Adjust and Scale
  19. Chapter 12 ▪ Keep Evolving and Growing
  20. Chapter 13 ▪ Summary
  21. Index