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Business Analytics

methods, models, and decisions
Author: Search for this author Evans, James R.
Statement of Responsibility: James R. Evans
Year: 2021
Publisher: Harlow [u.a.], Pearson Education
Media group: eBook/eResource
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This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content, which is especially relevant to students outside the United States.
 
 
 
For undergraduate or graduate business students.
 
 
 
A balanced and holistic approach to business analytics
 
Business Analytics teaches the fundamental concepts of modern business analytics and provides vital tools in understanding how data analysis works in today's organizations. Author James Evans takes a fair and comprehensive, approach, examining business analytics from both descriptive and predictive perspectives. Students learn how to apply basic principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. And included access to commercial grade analytics software gives students real-world experience and career-focused value. As such, the 3rd Edition has gone through an extensive revision and now relies solely on Excel, enhancing students' skills in the program and basic understanding of fundamental concepts. Additionally, Analytic Solver can now be found in online supplements to accommodate any new software updates, so students are prepared to use these same tools when they graduate.
 
 
 
Pearson MyLab Statistics not included. Students, if Pearson MyLab Statistics a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. Pearson MyLab Statistics should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.
 
 
 
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Details

Author: Search for this author Evans, James R.
Statement of Responsibility: James R. Evans
Year: 2021
Publisher: Harlow [u.a.], Pearson Education
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ISBN: 978-1-292-33904-7
ISBN (2nd): 978-1-292-33906-1
Description: 3rd ed., global ed., 704 S. : Abb., Tab. u. graph. Darst.
Tags: Business Analysis, Business Intelligence System, Data, Data Analysis, Forecasting Model, Industrial Management, Management Information System, Betriebliches Informationssystem, Daten, Managementinformationssystem, Prognoseverfahren, Unternehmensanalyse
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Language: Englisch
Media group: eBook/eResource