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60 Part I • Decision Making and Analytics: An Overview

Part I
Decision Making and Analytics: An Overview
Chapter 1
An Overview of Business
Intelligence, Analytics, and
Decision Support
Chapter 2
Foundations and Technologies for
Decision Making

Part III Part IV
Predictive Analytics Prescriptive Analytics
Chapter 9
Chapter 5 Model-Based Decision Making:
Data Mining Optimization and Multi-Criteria
Systems
Chapter 10 Part V
Chapter 6
Part II Modeling and Analysis: Big Data and Future Directions
Descriptive Analytics Techniques for Predictive Heuristic Search Methods and for Business Analytics
Modeling
Simulation
Chapter 3 Chapter 11
Data Warehousing Chapter 7 Automated Decision Systems and Chapter 13
Text Analytics, Text Mining, and Expert Systems Big Data and Analytics
Sentiment Analysis
Chapter 4
Chapter 8
Chapter 12
Chapter 14
Business Reporting, Visual Web Analytics, Web Mining, and Knowledge Management and Business Analytics: Emerging
Analytics, and Business Social Analytics Collaborative Systems Trends and Future Impacts
Performance Management
Part VI
Online Supplements
Software Demos
Data Files for Exercises

PowerPoint Slides

Figure 1.6 Plan of the Book.
part ii: descriptive analytics

Part II begins with an introduction to data warehousing issues, applications, and technolo-
gies in Chapter 3. Data represent the fundamental backbone of any decision support and
analytics application. Chapter 4 describes business reporting, visualization technologies,
and applications. It also includes a brief overview of business performance management
techniques and applications, a topic that has been a key part of traditional BI.
part iii: predictive analytics

Part III comprises a large part of the book. It begins with an introduction to predictive
analytics applications in Chapter 5. It includes many of the common application tech-
niques: classification, clustering, association mining, and so forth. Chapter 6 includes a
technical description of selected data mining techniques, especially neural network mod-
els. Chapter 7 focuses on text mining applications. Similarly, Chapter 8 focuses on Web
analytics, including social media analytics, sentiment analysis, and other related topics.

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