Big Data in Practice: How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results
- 7h 1m 34s
- Bernard Marr
- Gildan Media
- 2024
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 utilize 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. Organized 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 in 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
About the Author
BERNARD MARR is a bestselling business author, keynote speaker and consultant in Big Data analytics and enterprise performance. He is one of the world's most highly respected thought leaders on data in business and regularly helps major companies and governments gain better insights from their data. Bernard is a frequent contributor to the World Economic Forum, writes a regular column for Forbes, and is recognized by LinkedIn as one of the world's top 5 business influencers. He is the author of numerous books including Big Data (winner of the Futures Category at the CMI Management Book of the Year Awards 2016), Big Data for Small Business For Dummies and Key Business Analytics.
In this Audiobook
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Introduction
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Chapter 1 - Walmart: How Big Data Is Used to Drive Supermarket Performance
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Chapter 2 - Cern: Unravelling the Secrets of the Universe with Big Data
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Chapter 3 - Netflix: How Netflix Used Big Data to Give Us the Programmes We Want
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Chapter 4 - Rolls-royce: How Big Data Is Used to Drive Success in Manufacturing
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Chapter 5 - Shell: How Big Oil Uses Big Data
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Chapter 6 - Apixio: How Big Data Is Transforming Healthcare
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Chapter 7 - Lotus F1 Team: How Big Data Is Essential to the Success of Motorsport Teams
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Chapter 8 - Pendleton & Son Butchers: Big Data for Small Business
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Chapter 9 - Us Olympic Women’s Cycling Team: How Big Data Analytics Is Used to Optimize Athletes’ Performance
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Chapter 10 - Zsl: Big Data in the Zoo and to Protect Animals
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Chapter 11 - Facebook: How Facebook Use Big Data to Understand Customers
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Chapter 12 - John Deere: How Big Data Can Be Applied on Farms
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Chapter 13 - Royal Bank of Scotland: Using Big Data to Make Customer Service More Personal
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Chapter 14 - Linkedin: How Big Data Is Used to Fuel Social Media Success
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Chapter 15 - Microsoft: Bringing Big Data to the Masses
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Chapter 16 - Acxiom: Fuelling Marketing with Big Data
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Chapter 17 - Us Immigration and Customs: How Big Data Is Used to Keep Passengers Safe and Prevent Terrorism
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Chapter 18 - Nest: Bringing the Internet of Things into the Home
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Chapter 19 - Ge: How Big Data Is Fuelling the Industrial Internet
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Chapter 20 - Etsy: How Big Data Is Used in a Crafty Way
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Chapter 21 - Narrative Science: How Big Data Is Used to Tell Stories
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Chapter 22 - Bbc: How Big Data Is Used in the Media
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Chapter 23 - Milton Keynes: How Big Data Is Used to Create Smarter Cities
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Chapter 24 - Palantir: How Big Data Is Used to Help the Cia and to Detect Bombs in Afghanistan
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Chapter 25 - Airbnb: How Big Data Is Used to Disrupt the Hospitality Industry
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Chapter 26 - Sprint: Profiling Audiences Using Mobile Network Data
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Chapter 27 - Dickey’s Barbecue Pit: How Big Data Is Used to Gain Performance Insights into One of America’s Most Successful Restaurant Chains
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Chapter 28 - Caesars: Big Data at the Casino
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Chapter 29 - Fitbit: Big Data in the Personal Fitness Arena
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Chapter 30 - Ralph Lauren: Big Data in the Fashion Industry
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Chapter 31 - Zynga: Big Data in the Gaming Industry
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Chapter 32 - Autodesk: How Big Data Is Transforming the Software Industry
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Chapter 33 - Walt Disney Parks and Resorts: How Big Data Is Transforming Our Family Holidays
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Chapter 34 - Experian: Using Big Data to Make Lending Decisions and to Crack down on Identity Fraud
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Chapter 35 - Transport for London: How Big Data Is Used to Improve and Manage Public Transport in London
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Chapter 36 - The Us Government: Using Big Data to Run a Country
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Chapter 37 - Ibm Watson: Teaching Computers to Understand and Learn
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Chapter 38 - Google: How Big Data Is at the Heart of Google’s Business Model
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Chapter 39 - Terra Seismic: Using Big Data to Predict Earthquakes
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Chapter 40 - Apple: How Big Data Is at the Centre of Their Business
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Chapter 41 - Twitter: How Twitter and Ibm Deliver Customer Insights from Big Data
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Chapter 42 - Uber: How Big Data Is at the Centre of Uber’s Transportation Business
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Chapter 43 - Electronic Arts: Big Data in Video Gaming
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Chapter 44 - Kaggle: Crowdsourcing Your Data Scientist
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Chapter 45 - Amazon: How Predictive Analytics Are Used to Get a 360-degree View of Consumers
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Final Thoughts