Predictive analytics for business strategy / (Record no. 90923)

MARC details
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control field 343606
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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20211104091411.0
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Description conventions rda
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Classification number HD 30.23
Item number .P935 2019
245 #0 - TITLE STATEMENT
Title Predictive analytics for business strategy /
Statement of responsibility, etc. reasoning from data to actionable knowledge / ;Jeffrey T. Prince.
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture New York, NY :
Name of producer, publisher, distributor, manufacturer McGrawhill Education,
Date of production, publication, distribution, manufacture, or copyright notice c2019.
300 ## - PHYSICAL DESCRIPTION
Extent xviii, 348 pages
Other physical details 24 cm.
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Content type term text
Source rdacontent
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Media type term unmediated
Source rdamedia
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Carrier type term volume
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504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes index.
520 ## - SUMMARY, ETC.
Summary, etc. Designed for courses that provide a conceptual and broad-based introduction to econometrics and business analytics, Predictive Analytics for Business Strategy, 1st edition provides future managers with a basic understanding of what data can do in forming business strategy without getting into a taxonomy of models and their statistical properties. Through engaging questions, explanations, and applications, students develop a deeper understanding of the fundamental reasoning behind how and why analysis can generate actionable knowledge and learn to think critically about whether a given analysis has merit or not. --Amazon.co.uk
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Business planning
Source of heading or term sears
9 (RLIN) 21283
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Business planning
Source of heading or term sears
9 (RLIN) 21283
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Quantitative research.
Source of heading or term sears
9 (RLIN) 102618
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