DSS OVERVIEW

1
DSS OVERVIEW

• MN4118 Session 5
• Prof. Mark Nissen

2
Agenda

• Journal Ranking Vignette
• DSS Definitions Characteristics
• DSS Components Examples
• Data Planning
• Military MPT Applications
• Summary

3
Journal Ranking Vignette

• Journal assessment by expert group
• What is the problem?
• What class of D problem?
• What tools LP? Stats? MAU?
• What DSS roles played?
• What kinds of data needed?
• What kinds of models needed?
• Potential benefits?
• F 3.7

4
Working Definition of DSS

• A DSS is an interactive, flexible, and adaptable
  CBIS, specially developed for supporting the
  solution of a non-structured management problem
  for improved decision making. It utilizes data,
  it provides easy user interface, and it allows
  for the decision makers own insights
• DSS may utilize models, is built by an
  interactive process (frequently by end-users),
  supports all the phases of the decision making,
  and may include a knowledge component
• Big problem with definitions grad ed

5
DSS Characteristics

• 1. Provide support in semi-structured and
  unstructured situations, includes human judgment
  and computerized information
• 2. Support for various managerial levels
• 3. Support to individuals and groups
• 4. Support to interdependent and/or sequential
  decisions
• 5. Support all phases of the decision-making
  process
• 6. Support a variety of decision-making processes
  and styles
• Which appear to be most important?

6
DSS Characteristics

• 7. Are adaptive
• 8. Have user friendly interfaces
• 9. Goal improve effectiveness of decision
  making
• 10. The decision maker controls the
  decision-making process
• 11. End-users can build simple systems
• 12. Utilizes models for analysis
• 13. Provides access to a variety of data sources,
  formats, and types
• Which appear to be most important?

7
Key DSS Characteristics

• Support semi(un)structured DM
• Support variety of DM processes/styles
• Support, not replace, DMer
• Support non-IT wizards

8
DSS Examples

• Eckerd (3.4) drug theft, IDSS
• Marketing (3.6) POS
• APL Workflow (3.7) Web
• Glaxo forecasting (3.8) data warehouse
• TN forecasting (3.9) sim stats
• UGA courses (3.10) Web DBMS
• Real estate (3.11) computations

9
DSS Components

• 1. Data Management Subsystem
• 2. Model Management Subsystem
• 3. Knowledge-based (Management) Subsystem
  embedded
• 4. User Interface Subsystem
• 5. The User!

10
DSS Components
11
Integrated Example

• Figure 3.6

12
Data Management Subsystem

• DSS database (manpower DBs?)
• Database management system (S/W)
• Data directory (meta-data?)
• Query facility (manpower queries?)
• Figure 3.3
• DBMS Access, Oracle, others

13
DSS Database Issues

• Data warehouse
• Data mining
• Extraction of data from internal, external, and
  private sources
• Web database servers
• Multimedia databases
• Commercial database management systems (DBMS)
• What data are needed? How to organize?

14
Data Planning Method

• Mission objectives
• What to accomplish?
• Critical success factors (CSFs)
• What must go well for success?
• Measures how to tell if going well?
• Data support measures
• Critical decisions (CDs)
• What decisions must be made?
• Methods how to decide?
• Models support methods

15
Data Planning Exercise

• Mission objective good course
• CSFs
• Students learn valuable material
• Students happy/content
• Measures
• Learning?
• Happiness?
• Data
• Learning?
• Happiness?

16
Data Planning Exercise

• Mission objective good course
• CDs
• wrt learning valuable material?
• wrt happy/content?
• Methods
• Learning?
• Happiness?
• Models
• Learning?
• Happiness?

17
Military MPT Examples

• What mil MPT decisions important?
• What kinds of DSS can help?

18
Summary

• Dont worry about definitions
• Appreciate DSS class of problems
• Understand key DSS components benefits
• Data planning
• Mil MPT application
• Good exam question?