國立虎尾科技大學 |

Advanced Business Analytics

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advanced Business Analytics/ edited by Fausto Pedro García Márquez, Benjamin Lev.
其他作者:	García Márquez, Fausto Pedro.
面頁冊數:	XII, 243 p. 88 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Information technology. -
電子資源:	https://doi.org/10.1007/978-3-319-11415-6
ISBN:	9783319114156

Advanced Business Analytics
Advanced Business Analytics[electronic resource] /edited by Fausto Pedro García Márquez, Benjamin Lev. - 1st ed. 2015. - XII, 243 p. 88 illus.online resource.

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

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

559429
Information technology.

LC Class. No.: HF54.5-54.56

Dewey Class. No.: 650

Advanced Business Analytics
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