Chapter 4 MODEL COMPONENT Decision Support Systems For Business Intelligence.

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Presentation transcript:

Chapter 4 MODEL COMPONENT Decision Support Systems For Business Intelligence

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.1: Process of Modeling

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.2: A Model Airplane

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Table 4.1: Dimensionality of Models Representation Time Dimension Linearity of the Relationship Deterministic vs. Stochastic Descriptive vs. Normative Causality vs. Correlation Methodology Dimension

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.3: Screenshot from Scottrade’s Advanced Trading System Software

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.4: Looking at Intervals of Time for Patterns

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.5: Nonlinear Relationships

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.6: Nonlinear Higher Dimension Relationship

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.7: Nonlinearity with Randomness

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.8: Results of a Monte Carlo Analysis

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.9: Simulation with Animaion

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.10: Google Results

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Table 4.2: Data-Mining Goals Classifications Clusters Regressions Sequences Forecasting

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.11: Word Cloud Analysis of a Blog

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.12: Word Tree of a Blog

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.13: DSSAgent Screen

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.14: Simple Model Selection

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.15: Simple Manipulation of a Model

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.16: Model Option Selection

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.17: Traditional Results Format

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.18: Results with Decision Support

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.19: Detailed Model Support

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.20: Passive Warning of Model Problems

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.21: Active Warning of Model Problems

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.22: Integration of Models

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.23: Modeling Results with Some Interpretative Support

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.24: Plot of Maintenance Data

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.25: Model Results with Better Interpretative Support

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.26: Passive Prompting for Further Analysis

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.27: Active Prompting for Further Analyses

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.28: Assistance for Defining Criteria

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.29: Finer Detailed Definition of Criteria

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.30: Content-Dependent Assistance of Criteria Selection

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.31: Support for Criteria Definition

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.32: Intelligent Support in a DSS

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.33: Brainstorming Support Tools

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.34: Support for Multi Criterion Choices

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.35: Specifying Criteria

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.36: Results from Analysis

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.37: Consumer Reports Data could be Accessed from a DSS

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.38: Edmund’s Car Review

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.39: Queries Designed to Help User Better Understand Choices

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.40: Decision Support Results

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.41: Historical Information to Facilitate Support

Sauter, V.L., Decision Support Systems for Business Intelligence, John Wiley, 2010 Figure 4.42: Support for Users Exploring Assumptions