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Advanced Business Analytics

Garcia Marquez, Fausto Pedro.

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Advanced Business Analytics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advanced Business Analytics/ edited by Fausto Pedro Garcia Marquez, Benjamin Lev.
其他作者:	Garcia Marquez, Fausto Pedro.
出版者:	Cham :Springer International Publishing : : 2015.,
面頁冊數:	xii, 243 p. :ill., digital ;24 cm.
內容註:	Decision Making Approach for Optimal Business Investments -- Integration of a Heuristic Method into an ERP Software -- Economic Viability Analytics for Wind Energy Maintenance Management -- Introduction to Multi-Attribute Decision Making in Business Analytics -- How Business Analytics Should Work -- Vulnerability Analysis of a Signal-Controlled Road Network for Equilibrium Flow -- Analytical Model Implementing Objectives in EVM for Advanced Project Control -- Use of Excellence Models as a Management Maturity Model (3M) -- AHP and Intuitionistic Fuzzy Topsis Methodology for SCM Selection -- The Assessment and Selection of Hedge Funds -- Functional Data Analysis with an Application in the Capital Structure of California Hospitals -- A Software Application to Optimize the Visits of Sales/Marketing Agents to Their Customers in a Brewing Company.
Contained By:	Springer eBooks
標題:	Industrial management - Statistical methods -
電子資源:	http://dx.doi.org/10.1007/978-3-319-11415-6
ISBN:	9783319114156 (electronic bk.)

Advanced Business Analytics
Advanced Business Analytics[electronic resource] /edited by Fausto Pedro Garcia Marquez, Benjamin Lev. - Cham :Springer International Publishing :2015. - xii, 243 p. :ill., digital ;24 cm.

Decision Making Approach for Optimal Business Investments -- Integration of a Heuristic Method into an ERP Software -- Economic Viability Analytics for Wind Energy Maintenance Management -- Introduction to Multi-Attribute Decision Making in Business Analytics -- How Business Analytics Should Work -- Vulnerability Analysis of a Signal-Controlled Road Network for Equilibrium Flow -- Analytical Model Implementing Objectives in EVM for Advanced Project Control -- Use of Excellence Models as a Management Maturity Model (3M) -- AHP and Intuitionistic Fuzzy Topsis Methodology for SCM Selection -- The Assessment and Selection of Hedge Funds -- Functional Data Analysis with an Application in the Capital Structure of California Hospitals -- A Software Application to Optimize the Visits of Sales/Marketing Agents to Their Customers in a Brewing Company.

The book describes advanced business analytics and shows how to apply them to many different professional areas of engineering and management. Each chapter of the book is contributed by a different author and covers a different area of business analytics. The book connects the analytic principles with business practice and provides an interface between the main disciplines of engineering/technology and the organizational, administrative and planning abilities of management. It also refers to other disciplines such as economy, finance, marketing, behavioral economics and risk analysis. This book is of special interest to engineers, economists and researchers who are developing new advances in engineering management but also to practitioners working on this subject.

ISBN: 9783319114156 (electronic bk.)

Standard No.: 10.1007/978-3-319-11415-6doiSubjects--Topical Terms:

1067326
Industrial management
--Statistical methods

LC Class. No.: HD30.215

Dewey Class. No.: 658.40300285554

Advanced Business Analytics
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520 $a The book describes advanced business analytics and shows how to apply them to many different professional areas of engineering and management. Each chapter of the book is contributed by a different author and covers a different area of business analytics. The book connects the analytic principles with business practice and provides an interface between the main disciplines of engineering/technology and the organizational, administrative and planning abilities of management. It also refers to other disciplines such as economy, finance, marketing, behavioral economics and risk analysis. This book is of special interest to engineers, economists and researchers who are developing new advances in engineering management but also to practitioners working on this subject.
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