| 000 -LEADER |
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| fixed length control field |
04809cam a2200397 i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
18953952 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
NUST |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20221103123022.0 |
| 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 |
|---|
| LC control number |
2016002813 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781119231387 (hardback) |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Transcribing agency |
DLC |
| Description conventions |
rda |
| Modifying agency |
D LC |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
HF5415.32 |
| Item number |
.M37 2016 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
658.0557, MAR |
| Edition number |
23 |
| 084 ## - OTHER CLASSIFICATION NUMBER |
|---|
| Classification number |
BUS000000 |
| -- |
BUS063000 |
| -- |
BUS016000 |
| Number source |
bisacsh |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Marr, Bernard, |
| Relator term |
[author] |
| 9 (RLIN) |
102306 |
| 245 10 - TITLE STATEMENT |
|---|
| 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 |
|---|
| 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 |
2016. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xi, 308 pages ; |
| Dimensions |
22 cm |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Source |
rdacarrier |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Walmart: How Big Data Is Used To Drive Supermarket Performance (Page-5), CERN: Unravelling the Secrets of the Universe with Big Data (Page-11),Netflix: How Netflix Used Big Data to Give Us the Programmes We Want (Page-17),Rolls-Royce: How Big Data Is Used To Drive Success in Manufacturing (Page-25),Shell: How Big Oil Uses Big Data (Page-31),Apixio: How Big Data Is Transforming Healthcare (Page-37),Lotus F1 Team: How Big Data Is Essential To the Success of Motorsport Teams (Page-45),Pendleton & Son Butchers: Big Data for Small Business (Page-51),US Olympic Women's Cycling Team: How Big Data Analytics Is Used To Optimize Athletes' Performance (Page-57), ZSL: Big Data in the Zoo and To Protect Animals (Page-63),Facebook: How Facebook Use Big Data to Understand Customers (Page-69),John Deere: How Big Data Can Be Applied On Farms (Page-75),Royal Bank of Scotland: Using Big Data to Make Customer Service More Personal (Page-81),LinkedIn: How Big Data Is Used To Fuel Social Media Success (Page-87),Microsoft: Bringing Big Data to the Masses (Page-95),Acxiom: Fuelling Marketing with Big Data (Page-103),US Immigration and Customs: How Big Data Is Used To Keep Passengers Safe and Prevent Terrorism (Page-111),Nest: Bringing the Internet of Things into the Home (Page-117),GE: How Big Data Is Fuelling the Industrial Internet (Page-125),Etsy: How Big Data Is Used In a Crafty Way (Page-131),Narrative Science: How Big Data Is Used To Tell Stories (Page-137),BBC: How Big Data Is Used In the Media (Page-143),Milton Keynes: How Big Data Is Used To Create Smarter Cities (Page-149),Palantir: How Big Data Is Used To Help the CIA and To Detect Bombs in Afghanistan (Page-157),Airbnb: How Big Data Is Used To Disrupt the Hospitality Industry (Page-163),Sprint: Profiling Audiences Using Mobile Network Data (Page-169),Dickey's Barbecue Pit: How Big Data Is Used to Gain Performance Insights Into One Of America's Most Successful Restaurant Chains (Page-175),Caesars: Big Data at the Casino (Page-181),Fitbit: Big Data in the Personal Fitness Arena (Page-189),Ralph Lauren: Big Data in the Fashion Industry (Page-195),Zynga: Big Data in the Gaming Industry (Page-199),Autodesk: How Big Data Is Transforming the Software Industry (Page-205),Walt Disney Parks and Resorts: How Big Data Is Transforming Our Family Holidays (Page-211),Experian: Using Big Data to Make Lending Decisions and To Crack Down On Identity Fraud (Page-217),Transport for London: How Big Data Is Used To Improve and Manage Public Transport in London (Page-223),The US Government: Using Big Data to Run a Country (Page-229),IBM Watson: Teaching Computers to Understand and Learn (Page-237),Google: How Big Data Is At the Heart of Google's Business Model (Page-243),Terra Seismic: Using Big Data to Predict Earthquakes (Page-251),Apple: How Big Data Is At the Centre of Their Business (Page-255),Twitter: How Twitter and IBM Deliver Customer Insights from Big Data (Page-261),Uber: How Big Data Is At the Centre of Uber's Transportation Business (Page-267),Electronic Arts: Big Data in Video Gaming (Page-273),Kaggle: Crowdsourcing Your Data Scientist (Page-281),Amazon: How Predictive Analytics Are Used To Get a 360-Degree View of Consumers (Page-287). |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Consumer behavior. |
| 9 (RLIN) |
14621 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Strategic planning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Big data. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
BUSINESS & ECONOMICS / General. |
| Source of heading or term |
bisacsh |
| 9 (RLIN) |
25886 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
BUSINESS & ECONOMICS / Strategic Planning. |
| Source of heading or term |
bisacsh |
| 9 (RLIN) |
100870 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
BUSINESS & ECONOMICS / Consumer Behavior. |
| Source of heading or term |
bisacsh |
| 9 (RLIN) |
101772 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| 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 |
| 856 42 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Materials specified |
Cover image |
| Uniform Resource Identifier |
<a href="http://catalogimages.wiley.com/images/db/jimages/9781119231387.jpg">http://catalogimages.wiley.com/images/db/jimages/9781119231387.jpg</a> |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
orignew |
| d |
1 |
| e |
ecip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Book |
