MARC details
| 000 -LEADER |
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| fixed length control field |
05650cam a2200325 i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
18953952 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20171026185730.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
160129s2016 nju b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
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| LC control number |
2016002813 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781119231387(pbk) |
| 040 ## - CATALOGING SOURCE |
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| Transcribing agency |
NCL |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
658.0557 |
| Edition number |
23 |
| Item number |
MAR-B 2017 9569 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Marr, Bernard, |
| 245 10 - TITLE STATEMENT |
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| Title |
Big data in practice : |
| Remainder of title |
how 45 successful companies used big data analytics to deliver extraordinary results / |
| Statement of responsibility, etc. |
Bernard Marr. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Place of production, publication, distribution, manufacture |
Chichester, West Sussex : |
| Name of producer, publisher, distributor, manufacturer |
Wiley, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2017. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xi, 308 pages ; |
| Dimensions |
22 cm |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc |
Includes bibliographical references and index. |
| 505 8# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Machine generated contents note: Introduction 1 Walmart: How Big Data Is Used To Drive Supermarket Performance 2 CERN: Unravelling the Secrets of the Universe with Big Data 3 Netflix: How Netflix Used Big Data to Give Us the Programmes We Want 4 Rolls-Royce: How Big Data Is Used To Drive Success In Manufacturing 5 Shell: How Big Oil Uses Big Data 6 Apixio: How Big Data Is Transforming Healthcare 7 Lotus F1 Team: How Big Data Is Essential To The Success Of Motorsport Teams 8 Pendleton & Son Butchers: Big Data for Small Business 9 US Olympic Women's Cycling Team: How Big Data Analytics Is Used To Optimize Athletes' Performance 10 ZSL: Big Data In The Zoo And To Protect Animals 11 Facebook: How Facebook Use Big Data to Understand Customers 12 John Deere: How Big Data Can Be Applied On Farms 13 Royal Bank of Scotland: Using Big Data to Make Customer Service More Personal 14 LinkedIn: How Big Data Is Used To Fuel Social Media Success 15 Microsoft: Bringing Big Data To The Masses 16 Acxiom: Fuelling Marketing With Big Data 17 US Immigration and Customs: How Big Data Is Used To Keep Passengers Safe and Prevent Terrorism 18 Nest: Bringing the Internet of Things into The Home 19 GE: How Big Data Is Fuelling the Industrial Internet 20 Etsy: How Big Data Is Used In A Crafty Way 21 Narrative Science: How Big Data Is Used To Tell Stories 22 BBC: How Big Data Is Used In The Media 23 Milton Keynes: How Big Data Is Used To Create Smarter Cities 24 Palantir: How Big Data Is Used To Help The CIA And To Detect Bombs In Afghanistan 25 Airbnb: How Big Data Is Used To Disrupt the Hospitality Industry 26 Sprint: Profiling Audiences Using Mobile Network Data 27 Dickey's Barbecue Pit: How Big Data Is Used to Gain Performance Insights Into One Of America's Most Successful Restaurant Chains 28 Caesars: Big Data At The Casino 29 Fitbit: Big Data In The Personal Fitness Arena 30 Ralph Lauren: Big Data In The Fashion Industry 31 Zynga: Big Data In The Gaming Industry 32 Autodesk: How Big Data Is Transforming The Software Industry 33 Walt Disney Parks and Resorts: How Big Data Is Transforming Our Family Holidays 34 Experian: Using Big Data To Make Lending Decisions And To Crack Down On Identity Fraud 35 Transport for London: How Big Data Is Used To Improve And Manage Public Transport In London 36 The US Government: Using Big Data To Run A Country 37 IBM Watson: Teaching Computers To Understand And Learn 38 Google: How Big Data Is At The Heart Of Google's Business Model 39 Terra Seismic: Using Big Data To Predict Earthquakes 40 Apple: How Big Data Is At The Centre Of Their Business 41 Twitter: How Twitter And IBM Deliver Customer Insights From Big Data 42 Uber: How Big Data Is At The Centre Of Uber's Transportation Business 43 Electronic Arts: Big Data In Video Gaming 44 Kaggle: Crowdsourcing Your Data Scientist 45 Amazon: How Predictive Analytics Are Used To Get A 360-Degree View Of Consumers Final Thoughts About the Author Acknowledgements Index . |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
"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 "-- |
| Assigning source |
Provided by publisher. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Consumer behavior. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Strategic planning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Big data. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
BUSINESS & ECONOMICS / General. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
BUSINESS & ECONOMICS / Strategic Planning. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
BUSINESS & ECONOMICS / Consumer Behavior. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
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| Relationship information |
Online version: |
| Main entry heading |
Marr, Bernard, author. |
| Title |
Big data in practice |
| Place, publisher, and date of publication |
Hoboken : Wiley, 2016 |
| International Standard Book Number |
9781119231417 |
| Record control number |
(DLC) 2016010994 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
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| Koha item type |
Books |
