Book description
Learn everything you need to know to start using business analytics and integrating it throughout your organization.
Business Analytics Principles, Concepts, and Applications with SAS brings together a complete, integrated package of knowledge for newcomers to the subject. The authors present an uptodate view of what business analytics is, why it is so valuable, and most importantly, how it is used. They combine essential conceptual content with clear explanations of the tools, techniques, and methodologies actually used to implement modern business analytics initiatives.
They offer a proven stepwise approach to designing an analytics program, and successfully integrating it into your organization, so it effectively provides intelligence for competitive advantage in decision making.
Using stepbystep examples, the authors identify common challenges that can be addressed by business analytics, illustrate each type of analytics (descriptive, prescriptive, and predictive), and guide users in undertaking their own projects. Illustrating the realworld use of statistical, information systems, and management science methodologies, these examples help readers successfully apply the methods they are learning.
Unlike most competitive guides, this text demonstrates the use of SAS software, permitting instructors to spend less time teaching software and more time focusing on business analytics itself.
Business Analytics Principles, Concepts, and Applications with SAS will be a valuable resource for all beginningtointermediate level business analysts and business analytics managers; for MBA/Masters' degree students in the field; and for advanced undergraduates majoring in statistics, applied mathematics, or engineering/operations research.
Table of contents
 About This eBook
 Title Page
 Copyright Page
 Dedication Page
 ContentsataGlance
 Table of Contents
 About the Authors
 Preface
 Part I: What Is Business Analytics?

Part II: Why Is Business Analytics Important?
 2. Why Is Business Analytics Important?
 3. What Resource Considerations Are Important to Support Business Analytics?

Part III: How Can Business Analytics Be Applied?
 4. How Do We Align Resources to Support Business Analytics within an Organization?
 5. What Is Descriptive Analytics?
 6. What Is Predictive Analytics?
 7. What Is Prescriptive Analytics?
 8. A Final Business Analytics Case Problem

Part IV: Appendixes
 A. Statistical Tools

B. Linear Programming
 B.1 Introduction
 B.2 Types of Linear Programming Problems/Models
 B.3 Linear Programming Problem/Model Elements

B.4 Linear Programming Problem/Model Formulation Procedure
 B.4.1 Stepwise Procedure
 B.4.2 LP Problem/Model Formulation Practice: Butcher Problem
 B.4.3 LP Problem/Model Formulation Practice: Diet Problem
 B.4.4 LP Problem/Model Formulation Practice: Farming Problem
 B.4.5 LP Problem/Model Formulation Practice: Customer Service Problem
 B.4.6 LP Problem/Model Formulation Practice: Clarke Special Parts Problem
 B.4.7 LP Problem/Model Formulation Practice: Federal Division Problem
 B.5 ComputerBased Solutions for Linear Programming Using the Simplex Method
 B.6 Linear Programming Complications
 B.7 Necessary Assumptions for Linear Programming Models
 B.8 Linear Programming Practice Problems
 C. Duality and Sensitivity Analysis in Linear Programming
 D. Integer Programming
 E. Forecasting
 F. Simulation

G. Decision Theory
 G.1 Introduction
 G.2 Decision Theory Model Elements
 G.3 Types of Decision Environments
 G.4 Decision Theory Formulation
 G.5 DecisionMaking Under Certainty
 G.6 DecisionMaking Under Risk
 G.7 DecisionMaking under Uncertainty
 G.8 Expected Value of Perfect Information
 G.9 Sequential Decisions and Decision Trees
 G.10 The Value of Imperfect Information: Bayes’s Theorem
 G.11 Decision Theory Practice Problems
 Index
Product information
 Title: Business Analytics Principles, Concepts, and Applications with SAS: What, Why, and How
 Author(s):
 Release date: October 2014
 Publisher(s): Pearson
 ISBN: 9780133989588
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