The analytics revolution: how to improve your business by making analytics operational in the big data era (Record no. 193332)

000 -LEADER
fixed length control field 01845cam a22001698i 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140728s2014 nju 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781118873670
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.74015
Item number F7A6
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Franks, Bill
9 (RLIN) 310502
245 14 - TITLE STATEMENT
Title The analytics revolution: how to improve your business by making analytics operational in the big data era
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken
Name of publisher, distributor, etc Wiley
Date of publication, distribution, etc 2014
300 ## - PHYSICAL DESCRIPTION
Extent xxiv, 278 p.
520 ## - SUMMARY, ETC.
Summary, etc The topics of big data and analytics continue to be among the most discussed and pursued in the business world today. While a decade ago many people still questioned whether or not data and analytics would help improve their businesses, today virtually no one questions the value that analytics brings to the table. The Analytics Revolution focuses on how this evolution has come to pass and explores the next wave of evolution that is underway. Making analytics operational involves automating and embedding analytics directly into business processes and allowing the analytics to prescribe and make decisions. It is already occurring all around us whether we know it or not.
The Analytics Revolution delves into the requirements for laying a solid technical and organizational foundation that is capable of supporting operational analytics at scale, and covers factors to consider if an organization is to succeed in making analytics operational. Along the way, you'll learn how changes in technology and the business environment have led to the necessity of both incorporating big data into analytic processes and making them operational. The book cuts straight through the considerable marketplace hype and focuses on what is really important.
(http://as.wiley.com/WileyCDA/WileyTitle/productCd-111887367X.html)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Business intelligence
9 (RLIN) 310503
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data
9 (RLIN) 310504
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent location Current location Shelving location Date acquired Source of acquisition Cost, normal purchase price Item location Total Checkouts Total Renewals Full call number Barcode Date last seen Date last borrowed Cost, replacement price Koha item type
          Non-fiction Vikram Sarabhai Library Vikram Sarabhai Library   2014-12-15 Books India 2597.40 Slot 87 (0 Floor, West Wing) 2 2 005.74015 F7A6 188096 2015-12-22 2015-11-12 3246.75 Books

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