Introduction to Business Analytics Using Simulation

Introduction to Business Analytics using Simulation employs an innovative strategy to teach business analytics. It uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers do not know what will happen in the future but must make...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Pinder, Jonathan P
Format: Buch
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Pinder, Jonathan P
description Introduction to Business Analytics using Simulation employs an innovative strategy to teach business analytics. It uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers do not know what will happen in the future but must make decisions, it treats uncertainty as an essential element in decision-making. Its use of simulation gives readers a superior way of analyzing past data, understanding an uncertain future, and optimizing results to select the best decision. With its focus on the uncertainty and variability of business, Introduction to Business Analytics Using Simulation provides a better foundation for business analytics than standard introductory business analytics books. Students gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics. Teaches how managers use business analytics to formulate and solve business problems and to support managerial decision makingExplains the processes needed to develop, report, and analyze business dataDescribes how to use and apply business analytics softwareIncludes 50 caselettes, quizzes for each exercise set, a quiz generator spreadsheet, and a sample syllabus.
doi_str_mv 10.1016/C2015-0-06970-2
format Book
fullrecord <record><control><sourceid>proquest_askew</sourceid><recordid>TN_cdi_askewsholts_vlebooks_9780128104866</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EBC4673115</sourcerecordid><originalsourceid>FETCH-LOGICAL-a30093-16f825a01213c6988ec5a60d7c249dc657456e058e646bad7bc2339f49627d673</originalsourceid><addsrcrecordid>eNpNkM1PwzAMxYMQiDF25khviEPB-XKS41YNmDSJAx_XKkszKOua0bRM--8pDCRO1rN-fn42IecUrilQvMkYUJlCCmgUpOyAnAJlmoLQKA7JyCj9pwU7JgMjNRgjJT0hoxjfAYAq7Ef5gPBZ3Tah6FxbhjppQzLpYln7GJNxbatdW7qYPPed1-SxXHeV_cbOyNHSVtGPfuuQvNxOn7L7dP5wN8vG89RyAMNTikvNpO2jUO7QaO2dtAiFckyYwqFUQqIHqT0KXNhCLRzj3CyFQaYKVHxIrvbGNq78Nr6Fqo35Z-UXIaxi_u9KxJ692LPehbqM-aYp17bZ5Rq1ZihA9sTlntg04aPzsc1_jJzvP2CrfDrJRL-TUsm_AJPdYmU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>book</recordtype><pqid>EBC4673115</pqid></control><display><type>book</type><title>Introduction to Business Analytics Using Simulation</title><source>eBooks on EBSCOhost</source><creator>Pinder, Jonathan P</creator><creatorcontrib>Pinder, Jonathan P</creatorcontrib><description>Introduction to Business Analytics using Simulation employs an innovative strategy to teach business analytics. It uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers do not know what will happen in the future but must make decisions, it treats uncertainty as an essential element in decision-making. Its use of simulation gives readers a superior way of analyzing past data, understanding an uncertain future, and optimizing results to select the best decision. With its focus on the uncertainty and variability of business, Introduction to Business Analytics Using Simulation provides a better foundation for business analytics than standard introductory business analytics books. Students gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics. Teaches how managers use business analytics to formulate and solve business problems and to support managerial decision makingExplains the processes needed to develop, report, and analyze business dataDescribes how to use and apply business analytics softwareIncludes 50 caselettes, quizzes for each exercise set, a quiz generator spreadsheet, and a sample syllabus.</description><edition>1</edition><identifier>ISBN: 9780128104842</identifier><identifier>ISBN: 0128104848</identifier><identifier>EISBN: 0128104864</identifier><identifier>EISBN: 9780128104866</identifier><identifier>DOI: 10.1016/C2015-0-06970-2</identifier><identifier>OCLC: 958099551</identifier><language>eng</language><publisher>San Diego: Elsevier Science &amp; Technology</publisher><subject>Business ; Business - Computer simulation ; Business intelligence ; Entscheidung unter Unsicherheit ; Entscheidungsverfahren ; Industrial management ; Prognoseverfahren ; Regressionsanalyse ; Simulation ; Strategisches Management ; Wahrscheinlichkeitsrechnung</subject><creationdate>2016</creationdate><tpages>450</tpages><format>450</format><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>306,307,780,784,786,4048,27925</link.rule.ids></links><search><creatorcontrib>Pinder, Jonathan P</creatorcontrib><title>Introduction to Business Analytics Using Simulation</title><description>Introduction to Business Analytics using Simulation employs an innovative strategy to teach business analytics. It uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers do not know what will happen in the future but must make decisions, it treats uncertainty as an essential element in decision-making. Its use of simulation gives readers a superior way of analyzing past data, understanding an uncertain future, and optimizing results to select the best decision. With its focus on the uncertainty and variability of business, Introduction to Business Analytics Using Simulation provides a better foundation for business analytics than standard introductory business analytics books. Students gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics. Teaches how managers use business analytics to formulate and solve business problems and to support managerial decision makingExplains the processes needed to develop, report, and analyze business dataDescribes how to use and apply business analytics softwareIncludes 50 caselettes, quizzes for each exercise set, a quiz generator spreadsheet, and a sample syllabus.</description><subject>Business</subject><subject>Business - Computer simulation</subject><subject>Business intelligence</subject><subject>Entscheidung unter Unsicherheit</subject><subject>Entscheidungsverfahren</subject><subject>Industrial management</subject><subject>Prognoseverfahren</subject><subject>Regressionsanalyse</subject><subject>Simulation</subject><subject>Strategisches Management</subject><subject>Wahrscheinlichkeitsrechnung</subject><isbn>9780128104842</isbn><isbn>0128104848</isbn><isbn>0128104864</isbn><isbn>9780128104866</isbn><fulltext>true</fulltext><rsrctype>book</rsrctype><creationdate>2016</creationdate><recordtype>book</recordtype><recordid>eNpNkM1PwzAMxYMQiDF25khviEPB-XKS41YNmDSJAx_XKkszKOua0bRM--8pDCRO1rN-fn42IecUrilQvMkYUJlCCmgUpOyAnAJlmoLQKA7JyCj9pwU7JgMjNRgjJT0hoxjfAYAq7Ef5gPBZ3Tah6FxbhjppQzLpYln7GJNxbatdW7qYPPed1-SxXHeV_cbOyNHSVtGPfuuQvNxOn7L7dP5wN8vG89RyAMNTikvNpO2jUO7QaO2dtAiFckyYwqFUQqIHqT0KXNhCLRzj3CyFQaYKVHxIrvbGNq78Nr6Fqo35Z-UXIaxi_u9KxJ692LPehbqM-aYp17bZ5Rq1ZihA9sTlntg04aPzsc1_jJzvP2CrfDrJRL-TUsm_AJPdYmU</recordid><startdate>2016</startdate><enddate>2016</enddate><creator>Pinder, Jonathan P</creator><general>Elsevier Science &amp; Technology</general><general>Academic Press is an imprint of Elsevier</general><general>Academic Press</general><scope>OQ6</scope></search><sort><creationdate>2016</creationdate><title>Introduction to Business Analytics Using Simulation</title><author>Pinder, Jonathan P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a30093-16f825a01213c6988ec5a60d7c249dc657456e058e646bad7bc2339f49627d673</frbrgroupid><rsrctype>books</rsrctype><prefilter>books</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Business</topic><topic>Business - Computer simulation</topic><topic>Business intelligence</topic><topic>Entscheidung unter Unsicherheit</topic><topic>Entscheidungsverfahren</topic><topic>Industrial management</topic><topic>Prognoseverfahren</topic><topic>Regressionsanalyse</topic><topic>Simulation</topic><topic>Strategisches Management</topic><topic>Wahrscheinlichkeitsrechnung</topic><toplevel>online_resources</toplevel><creatorcontrib>Pinder, Jonathan P</creatorcontrib><collection>ECONIS</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pinder, Jonathan P</au><format>book</format><genre>book</genre><ristype>BOOK</ristype><btitle>Introduction to Business Analytics Using Simulation</btitle><date>2016</date><risdate>2016</risdate><isbn>9780128104842</isbn><isbn>0128104848</isbn><eisbn>0128104864</eisbn><eisbn>9780128104866</eisbn><abstract>Introduction to Business Analytics using Simulation employs an innovative strategy to teach business analytics. It uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers do not know what will happen in the future but must make decisions, it treats uncertainty as an essential element in decision-making. Its use of simulation gives readers a superior way of analyzing past data, understanding an uncertain future, and optimizing results to select the best decision. With its focus on the uncertainty and variability of business, Introduction to Business Analytics Using Simulation provides a better foundation for business analytics than standard introductory business analytics books. Students gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics. Teaches how managers use business analytics to formulate and solve business problems and to support managerial decision makingExplains the processes needed to develop, report, and analyze business dataDescribes how to use and apply business analytics softwareIncludes 50 caselettes, quizzes for each exercise set, a quiz generator spreadsheet, and a sample syllabus.</abstract><cop>San Diego</cop><pub>Elsevier Science &amp; Technology</pub><doi>10.1016/C2015-0-06970-2</doi><oclcid>958099551</oclcid><tpages>450</tpages><edition>1</edition></addata></record>
fulltext fulltext
identifier ISBN: 9780128104842
ispartof
issn
language eng
recordid cdi_askewsholts_vlebooks_9780128104866
source eBooks on EBSCOhost
subjects Business
Business - Computer simulation
Business intelligence
Entscheidung unter Unsicherheit
Entscheidungsverfahren
Industrial management
Prognoseverfahren
Regressionsanalyse
Simulation
Strategisches Management
Wahrscheinlichkeitsrechnung
title Introduction to Business Analytics Using Simulation
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T19%3A13%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_askew&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=book&rft.btitle=Introduction%20to%20Business%20Analytics%20Using%20Simulation&rft.au=Pinder,%20Jonathan%20P&rft.date=2016&rft.isbn=9780128104842&rft.isbn_list=0128104848&rft_id=info:doi/10.1016/C2015-0-06970-2&rft_dat=%3Cproquest_askew%3EEBC4673115%3C/proquest_askew%3E%3Curl%3E%3C/url%3E&rft.eisbn=0128104864&rft.eisbn_list=9780128104866&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=EBC4673115&rft_id=info:pmid/&rfr_iscdi=true