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Big data in practice : (Record no. 92439)

MARC details
000 -LEADER
fixed length control field 02234cam a22002658i 4500
001 - CONTROL NUMBER
control field 18953952
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20180417092615.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160129s2016 nju 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119231387 (hardback)
040 ## - CATALOGING SOURCE
Transcribing agency PK-LaUMT
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.74
Edition number 23
Item number MAR-B
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Marr, Bernard
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.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc West Sussex :
Name of publisher, distributor, etc John Wiley,
Date of publication, distribution, etc 2016
300 ## - PHYSICAL DESCRIPTION
Extent 308 p.
500 ## - GENERAL NOTE
General note Includes index.
520 ## - SUMMARY, ETC.
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 "--
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Consumer behavior.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Strategic planning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Business and economics
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Strategic Planning.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Consumer Behavior.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Home library Current library Date acquired Full call number Barcode Date last seen Price effective from Koha item type Copy number
      UMT Main Campus UMT Main Campus 2017-04-10 005.74 MAR-B 107275 2024-05-08 2017-04-10 Books  
      UMT Main Campus UMT Main Campus 2018-04-17 005.74 MAR-B 120854 2022-03-07 2018-04-17 Books C. 2