Supporting Decision Making Chapter 11 Information Systems Management In Practice 6E McNurlin & Sprague

2 Introduction A Problem-Solving Scenario

3 Technologies for Decision Making  Decision Support Systems (DSS)  Architecture

4  CASE EXAMPLE: Ore-Ida Foods  CASE EXAMPLE: A Major Services Company Technologies for Decision Making

5  Data Mining  CASE EXAMPLE: Harrah’s Entertainment

6 Technologies for Decision Making  Executive Information Systems  CASE EXAMPLE: Xerox Corporation

7 Technologies for Decision Making  Executive Information Systems  Doing It Wrong  Why Install an EIS?  What Should the EIS Do?

8 Technologies for Decision Making  Expert Systems  Definition

9 Technologies for Decision Making  Knowledge Representation 1.Cases 2.Neural Networks 3.Rules  CASE EXAMPLE: American Express

10 Technologies for Decision Making  Degree of Expertise 1. Assistant 2. Colleague 3. Expert

11 Toward the Real-Time Enterprise  Enterprise Nervous Systems  Straight-Through Processing  Real-Time CRM  Communicating Objects

12 Toward the Real-Time Enterprise  Enterprise Nervous Systems  Straight-Through Processing  Real-Time CRM  Communicating Objects

13 Toward the Real-Time Enterprise  Enterprise Nervous Systems  Straight-Through Processing  Real-Time CRM  Communicating Objects

14 Toward the Real-Time Enterprise  Enterprise Nervous Systems  Straight-Through Processing  Real-Time CRM  Communicating Objects

15 Toward the Real-Time Enterprise  Enterprise Nervous Systems  Straight-Through Processing  Real-Time CRM  Communicating Objects

16 Toward the Real-Time Enterprise  Moderating the Dark Side of Real-Time  CASE EXAMPLE: General Electric

17 Conclusion The Good, Bad, and Ugly of Technology