Data mining for managers: how to use data (big and small) to solve business challenges (Record no. 195141)

000 -LEADER
fixed length control field 02622cam a22001698i 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140425s2014 nyu 000 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781137406170
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.056312
Item number B6D2
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Boire, Richard
9 (RLIN) 313047
245 10 - TITLE STATEMENT
Title Data mining for managers: how to use data (big and small) to solve business challenges
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc New York
Name of publisher, distributor, etc Palgrave
Date of publication, distribution, etc 2014
300 ## - PHYSICAL DESCRIPTION
Extent xii, 242 p.
520 ## - SUMMARY, ETC.
Summary, etc As companies' capacities to amass information continue to grow and improve, the process of mining the data has become more and more vital. All are abuzz about data mining's importance and potential—and for good reason—but the field is still in its infancy, and there's an urgent need to spread and grow the skills, know-how, and strategies to best optimize data mining's results.
In Data Mining for Managers, industry-veteran Richard Boire provides streamlined insights and techniques for making the most of the masses of information and mining techniques that technology has enabled. Chock-full of engaging stories and case studies involving some of the world's top companies, Data Mining for Managers sets itself apart in more ways than one. A guide for business managers who need to understand the concepts of data mining as well as the potential it has for providing strategic guidance, Boire delivers a uniquely simple, 4-step process for identifying when data mining is the appropriate tool and then designing, implementing, and measuring your mining. Through hands-on analysis of best practices, Data Mining for Managers demonstrates how to interpret your results into actionable learning and target your mining to achieve appropriate business solutions—solutions that lead directly to optimized customer ROI and other tangible results. Boire also takes pains to outline the common pitfalls of data mining and detail vital approaches for sidestepping them. Among other warnings, he advises managers about the investment in intellectual capital required for effective data mining, urging them against focusing solely on technology and unenlightened, de-contextualized numbers analysis.
Data Mining for Managers is a book for marketers, IT professionals, analysts, and anyone else who wants to ride the revolution of big data—not just get swept along by it. It's an invaluable handbook for those looking to learn more about how to convert data mining into actionable insights and business solutions.
(http://www.palgrave.com/page/detail/Data-Mining-for-Managers/?K=9781137406170)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Management - Computer programs
9 (RLIN) 314370
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining
9 (RLIN) 56428
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   2015-02-04 Astha Book Agency 2241.25 Slot 1870 (2 Floor, East Wing) 1 2 658.056312 B6D2 188617 2015-10-17 2015-02-23 2801.56 Books

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