Decision support systems can be either data-oriented or model-oriented. Data-oriented systems focus on descriptive, diagnostic, predictive, and prescriptive information to support decision making. Model-oriented systems use simulation, optimization, and suggestion models stored in a model base to generate analysis and suggestions. Effective decision support systems collaborate different approaches and connect various information systems and technologies to support decision makers.

2.  Types of information
 Data oriented vs Model oriented
 Components of decision support
system

3. Descriptive information “What is…?”
Diagnostic information “What is wrong…?”
Predictive information
“What would happen
if…?”
Prescriptive information
“What should be
done…?”

5. Data
Retrieval
Data Analysis System
Analysis information
System
File Drawer System
Data
Analysis
Data
Oriented
…

6. Simulation
Optimization Models
Suggestion Models
Accounting Models
Suggestion
Model
Oriented
Representation
Systems

7. Data Base
Management
Model Base
Management
Finance
Personnel
Research
External Data
…
Strategy
Tactics
Operational
Models
…
User Interface
Decision Maker

8. Collaboration of different approaches
Ubiquity of information systems and
technologies
Connection of everything