(eBook PDF) Business Analytics: A Management Approach – Digital Ebook – Instant Delivery Download

Product details:

• ISBN-10 ‏ : ‎ 1352007258
• ISBN-13 ‏ : ‎ 978-1352007251
• Author: Richard Vidgen (Author), Sam Kirshner (Contributor), Felix Tan (Contributor)

This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used in organisations to help make effective data-driven decisions. Combining theory with hands-on practical examples, this essential text includes cutting edge coverage of new areas of interest including social media analytics, design thinking and the ethical implications of using big data. A wealth of learning features including exercises, cases, online resources and data sets help students to develop analytic problem-solving skills.
Table contents:

PART 1 The Essence of Management Science and Business Analytics
1 Introduction
2 Overview of the Analysis Process

PART 2 Models for Predictive Analytics
3 Classification and Prediction Models for Predictive Analytics
4 Predictive Analytics Based on Traditional Forecasting Methods

PART 3 Using Linear Programming to Perform Prescriptive Analytics
5 Linear Programming: Basic Concepts
6 Linear Programming: Formulation and Applications
7 The Art of Modeling with Spreadsheets
8 What-If Analysis for Linear Programming
9 Network Optimization Problems

PART 4 Using Integer or Nonlinear Programming to Perform Prescriptive Analytics
10 Integer Programming
11 Nonlinear Programming

PART 5 Traditional Uncertainty Models for Performing Predictive or Prescriptive Analytics
12 Decision Analysis
13 Queueing Models
14 Computer Simulation: Basic Concepts
15 Computer Simulation with Analytic Solver

APPENDIXES
A Tips for Using Microsoft Excel for Modeling
B Partial Answers to Selected Problems
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