Description

Book Synopsis

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 techni

Trade Review
It is refreshing to read a book whose author simply puts the big data hype into practice. Ultimately, it offers a comprehensive narrative of why and how data is transforming the way businesses operate. (Marginalia on Engagement, April 2016) "This book is a brilliant introduction to the concept of big data, perfect for anybody who would like to know what it's all about and how this can be of benefit." (Institute of Management Services Journal, June 2016) Warmly recommended (The Marketing Society, July 2016) Another excellent text from Marr (BCS, August 2016)

Table of Contents

Introduction 1

1 Walmart: How Big Data is Used to Drive Supermarket Performance 5

2 CERN: Unravelling the Secrets of the Universe With Big Data 11

3 Netflix: How Netflix Used Big Data to Give Us the Programmes We Want 17

4 Rolls-Royce: How Big Data is Used to Drive Success in Manufacturing 25

5 Shell: How Big Oil Uses Big Data 31

6 Apixio: How Big Data is Transforming Healthcare 37

7 Lotus F1 Team: How Big Data is Essential to the Success of Motorsport Teams 45

8 Pendleton & Son Butchers: Big Data For Small Business 51

9 US Olympic Women’s Cycling Team: How Big Data Analytics is Used to Optimize Athletes’ Performance 57

10 ZSL: Big Data in the Zoo and to Protect Animals 63

11 Facebook: How Facebook Use Big Data to Understand Customers 69

12 John Deere: How Big Data Can Be Applied On Farms 75

13 Royal Bank of Scotland: Using Big Data to Make Customer Service More Personal 81

14 LinkedIn: How Big Data is Used to Fuel Social Media Success 87

15 Microsoft: Bringing Big Data to the Masses 95

16 Acxiom: Fuelling Marketing With Big Data 103

17 US Immigration and Customs: How Big Data is Used to Keep Passengers Safe and Prevent Terrorism 111

18 Nest: Bringing the Internet of Things Into the Home 117

19 GE: How Big Data is Fuelling the Industrial Internet 125

20 Etsy: How Big Data is Used in a Crafty Way 131

21 Narrative Science: How Big Data is Used to Tell Stories 137

22 BBC: How Big Data is Used in the Media 143

23 Milton Keynes: How Big Data is Used to Create Smarter Cities 149

24 Palantir: How Big Data is Used to Help the CIA and to Detect Bombs in Afghanistan 157

25 Airbnb: How Big Data is Used to Disrupt the Hospitality Industry 163

26 Sprint: Profiling Audiences Using Mobile Network Data 169

27 Dickey’s Barbecue Pit: How Big Data is Used to Gain Performance Insights Into One of America’s Most Successful Restaurant Chains 175

28 Caesars: Big Data at the Casino 181

29 Fitbit: Big Data in the Personal Fitness Arena 189

30 Ralph Lauren: Big Data in the Fashion Industry 195

31 Zynga: Big Data in the Gaming Industry 199

32 Autodesk: How Big Data is Transforming the Software Industry 205

33 Walt Disney Parks and Resorts: How Big Data is Transforming Our Family Holidays 211

34 Experian: Using Big Data to Make Lending Decisions and to Crack Down On Identity Fraud 217

35 Transport for London: How Big Data is Used to Improve and Manage Public Transport in London 223

36 The US Government: Using Big Data to Run a Country 229

37 IBM Watson: Teaching Computers to Understand and Learn 237

38 Google: How Big Data is at the Heart of Google’s Business Model 243

39 Terra Seismic: Using Big Data to Predict Earthquakes 251

40 Apple: How Big Data is at the Centre of Their Business 255

41 Twitter: How Twitter and IBM Deliver Customer Insights From Big Data 261

42 Uber: How Big Data is at the Centre of Uber’s Transportation Business 267

43 Electronic Arts: Big Data in Video Gaming 273

44 Kaggle: Crowdsourcing Your Data Scientist 281

45 Amazon: How Predictive Analytics Are Used to Get a 360-Degree View of Consumers 287

Final Thoughts 293

About the Author 297

Acknowledgements 299

Index 301

Big Data in Practice

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    RRP £29.99 – you save £6.00 (20%)

    Order before 4pm today for delivery by Mon 8 Jun 2026.

    A Hardback by Bernard Marr

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      View other formats and editions of Big Data in Practice by Bernard Marr

      Publisher: John Wiley & Sons Inc
      Publication Date: 12/04/2016
      ISBN13: 9781119231387, 978-1119231387
      ISBN10: 1119231388

      Description

      Book Synopsis

      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 techni

      Trade Review
      It is refreshing to read a book whose author simply puts the big data hype into practice. Ultimately, it offers a comprehensive narrative of why and how data is transforming the way businesses operate. (Marginalia on Engagement, April 2016) "This book is a brilliant introduction to the concept of big data, perfect for anybody who would like to know what it's all about and how this can be of benefit." (Institute of Management Services Journal, June 2016) Warmly recommended (The Marketing Society, July 2016) Another excellent text from Marr (BCS, August 2016)

      Table of Contents

      Introduction 1

      1 Walmart: How Big Data is Used to Drive Supermarket Performance 5

      2 CERN: Unravelling the Secrets of the Universe With Big Data 11

      3 Netflix: How Netflix Used Big Data to Give Us the Programmes We Want 17

      4 Rolls-Royce: How Big Data is Used to Drive Success in Manufacturing 25

      5 Shell: How Big Oil Uses Big Data 31

      6 Apixio: How Big Data is Transforming Healthcare 37

      7 Lotus F1 Team: How Big Data is Essential to the Success of Motorsport Teams 45

      8 Pendleton & Son Butchers: Big Data For Small Business 51

      9 US Olympic Women’s Cycling Team: How Big Data Analytics is Used to Optimize Athletes’ Performance 57

      10 ZSL: Big Data in the Zoo and to Protect Animals 63

      11 Facebook: How Facebook Use Big Data to Understand Customers 69

      12 John Deere: How Big Data Can Be Applied On Farms 75

      13 Royal Bank of Scotland: Using Big Data to Make Customer Service More Personal 81

      14 LinkedIn: How Big Data is Used to Fuel Social Media Success 87

      15 Microsoft: Bringing Big Data to the Masses 95

      16 Acxiom: Fuelling Marketing With Big Data 103

      17 US Immigration and Customs: How Big Data is Used to Keep Passengers Safe and Prevent Terrorism 111

      18 Nest: Bringing the Internet of Things Into the Home 117

      19 GE: How Big Data is Fuelling the Industrial Internet 125

      20 Etsy: How Big Data is Used in a Crafty Way 131

      21 Narrative Science: How Big Data is Used to Tell Stories 137

      22 BBC: How Big Data is Used in the Media 143

      23 Milton Keynes: How Big Data is Used to Create Smarter Cities 149

      24 Palantir: How Big Data is Used to Help the CIA and to Detect Bombs in Afghanistan 157

      25 Airbnb: How Big Data is Used to Disrupt the Hospitality Industry 163

      26 Sprint: Profiling Audiences Using Mobile Network Data 169

      27 Dickey’s Barbecue Pit: How Big Data is Used to Gain Performance Insights Into One of America’s Most Successful Restaurant Chains 175

      28 Caesars: Big Data at the Casino 181

      29 Fitbit: Big Data in the Personal Fitness Arena 189

      30 Ralph Lauren: Big Data in the Fashion Industry 195

      31 Zynga: Big Data in the Gaming Industry 199

      32 Autodesk: How Big Data is Transforming the Software Industry 205

      33 Walt Disney Parks and Resorts: How Big Data is Transforming Our Family Holidays 211

      34 Experian: Using Big Data to Make Lending Decisions and to Crack Down On Identity Fraud 217

      35 Transport for London: How Big Data is Used to Improve and Manage Public Transport in London 223

      36 The US Government: Using Big Data to Run a Country 229

      37 IBM Watson: Teaching Computers to Understand and Learn 237

      38 Google: How Big Data is at the Heart of Google’s Business Model 243

      39 Terra Seismic: Using Big Data to Predict Earthquakes 251

      40 Apple: How Big Data is at the Centre of Their Business 255

      41 Twitter: How Twitter and IBM Deliver Customer Insights From Big Data 261

      42 Uber: How Big Data is at the Centre of Uber’s Transportation Business 267

      43 Electronic Arts: Big Data in Video Gaming 273

      44 Kaggle: Crowdsourcing Your Data Scientist 281

      45 Amazon: How Predictive Analytics Are Used to Get a 360-Degree View of Consumers 287

      Final Thoughts 293

      About the Author 297

      Acknowledgements 299

      Index 301

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