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Advanced Business Analytics electronic resource edited by Fausto Pedro García Márquez, Benjamin Lev.

Contributor(s): García Márquez, Fausto Pedro [editor.] | Lev, Benjamin [editor.] | SpringerLink (Online service)Material type: TextTextPublication details: Cham : Springer International Publishing : Imprint: Springer, 2015Description: XII, 243 p. 88 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319114156Subject(s): business | Organization | Planning | Management | Industrial management | Operations research | Decision making | Information technology | Business -- Data processing | Industrial organization | Business and Management | IT in Business | Innovation/Technology Management | Information Systems Applications (incl. Internet) | Organization | Operation Research/Decision Theory | Industrial OrganizationDDC classification: 650 | 658.05 LOC classification: HF54.5-54.56Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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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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.

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