Big Data in Practice: How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results

The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data.

Big data is on the tip of everyone’s tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective.

From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario.

• Learn how predictive analytics helps Amazon, Target, John Deere and Apple understand their customers
• Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more
• Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking
• Develop your own big data strategy by accessing additional reading materials at the end of each chapter

Table of Contents

Chapter 1 Walmart
Chapter 2 CERN
Chapter 3 Netflix
Chapter 4 Rolls-Royce
Chapter 5 Shell
Chapter 6 Apixio
Chapter 7 Lotus F1 Team
Chapter 8 Pendleton & Son Butchers
Chapter 9 US Olympic Womens Cycling Team
Chapter 10 ZSL
Chapter 11 Facebook
Chapter 12 John Deere
Chapter 13 Royal Bank of Scotland
Chapter 14 LinkedIn
Chapter 15 Microsoft
Chapter 16 Acxiom
Chapter 17 US Immigration And Customs
Chapter 18 Nest
Chapter 19 GE
Chapter 20 Etsy
Chapter 21 Narrative Science
Chapter 22 BBC
Chapter 23 Milton Keynes
Chapter 24 Palantir
Chapter 25 Airbnb
Chapter 26 Sprint
Chapter 27 Dickeys Barbecue Pit
Chapter 28 Caesars
Chapter 29 Fitbit
Chapter 30 Ralph Lauren
Chapter 31 Zynga
Chapter 32 Autodesk
Chapter 33 Walt Disney Parks and Resorts
Chapter 34 Experian
Chapter 35 Transport for London
Chapter 36 The US Government
Chapter 37 IBM Watson
Chapter 38 Google
Chapter 39 Terra Seismic
Chapter 40 Apple
Chapter 41 Twitter
Chapter 42 Uber
Chapter 43 Electronic Arts
Chapter 44 Kaggle
Chapter 45 Amazon