Business analytics : (Record no. 2517383)

MARC details
000 -LEADER
fixed length control field 01887 a2200265 4500
003 - CONTROL NUMBER IDENTIFIER
control field JGU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220805120023.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220805b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781352007251
Qualifying information pbk.
035 ## - SYSTEM CONTROL NUMBER
System control number JGU
040 ## - CATALOGING SOURCE
Language of cataloging eng
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Vidgen, Richard,
9 (RLIN) 849063
Relator term author
245 ## - TITLE STATEMENT
Title Business analytics :
Remainder of title a management approach /
Statement of responsibility, etc Richard Vidgen, Sam Kirshner and Felix Tan.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc London :
Name of publisher, distributor, etc Bloomsbury Academic,
Date of publication, distribution, etc 2022.
520 ## - SUMMARY, ETC.
Summary, etc "This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used in organisations to help make effective data-driven decisions. Combining theory with hands-on practical examples, this essential text includes cutting edge coverage of new areas of interest including social media analytics, design thinking and the ethical implications of using big data. A wealth of learning features including exercises, cases, online resources and data sets help students to develop analytic problem-solving skills. With its management perspective on analytics and its coverage of a range of popular software tools, this is an ideal essential text for upper-level undergraduate, postgraduate and MBA students. It is also ideal for practitioners wanting to understand the broader organisational context of big data analysis and to engage critically with the tools and techniques of business analytics."--
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Management,
General subdivision Statistical methods.
9 (RLIN) 33749
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Business intelligence.
9 (RLIN) 31024
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Kirshner, Sam,
Relator term author
9 (RLIN) 1635246
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Tan, Felix,
Relator term author
9 (RLIN) 1635247
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Koha item type Home library Current library Shelving location Full call number Barcode Total Checkouts Checked out Date last seen Date checked out
    Dewey Decimal Classification     General Books Print OPJGU Sonepat- Campus OPJGU Sonepat- Campus Main Library 658.4033 VI-B 146267 1 05/09/2024 06/08/2024 06/08/2024

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