The applied business analytics casebook applications in supply chain management, operations management, and operations research

The first collection of cases on "big data" analytics for supply chain, operations research, and operations management, this reference puts readers in the position of the analytics professional and decision-maker. Perfect for students, practitioners, and certification candidates in SCM, OM...

Full description

Bibliographic Details
Main Author: Drake, Matt
Format: eBook
Language:English
Published: Upper Saddle River, N.J. Pearson 2013
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
LEADER 02364nmm a2200325 u 4500
001 EB001947947
003 EBX01000000000000001110849
005 00000000000000.0
007 cr|||||||||||||||||||||
008 210123 ||| eng
020 |a 9780133407372 
050 4 |a HD38.7 
100 1 |a Drake, Matt 
245 0 0 |a The applied business analytics casebook  |b applications in supply chain management, operations management, and operations research  |c Matthew J. Drake 
260 |a Upper Saddle River, N.J.  |b Pearson  |c 2013 
300 |a 1 volume  |b illustrations 
653 |a Business logistics / Data processing 
653 |a Logistique (Organisation) / Informatique 
653 |a Business logistics / Data processing / fast 
653 |a Business intelligence / http://id.loc.gov/authorities/subjects/sh85018300 
653 |a Business intelligence / fast 
041 0 7 |a eng  |2 ISO 639-2 
989 |b OREILLY  |a O'Reilly 
500 |a Includes index 
776 |z 9780133407365 
856 4 0 |u https://learning.oreilly.com/library/view/~/9780133407372/?ar  |x Verlag  |3 Volltext 
082 0 |a 658 
082 0 |a 650.1 
082 0 |a 330 
520 |a The first collection of cases on "big data" analytics for supply chain, operations research, and operations management, this reference puts readers in the position of the analytics professional and decision-maker. Perfect for students, practitioners, and certification candidates in SCM, OM, and OR, these short, focused, to-the-point case studies illustrate the entire decision-making process. They provide realistic opportunities to perform analyses, interpret output, and recommend an optimal course of action. Contributed by leading "big data" experts, the cases in The Applied Business Analytics Casebook covers: Forecasting and statistical analysis: time series forecasting models, regression models, data visualization, and hypothesis testing Optimization and simulation: linear, integer, and nonlinear programming; Monte Carlo simulation and risk analysis; and stochastic optimization Decision analysis: decision making under uncertainty; expected value of perfect information; decision trees; game theory models; AHP; and multi-criteria decision making Advanced business analytics: data warehousing/mining; text mining; neural networks; financial analytics; CRM analytics; and revenue management models