1. Pertemuan 16 Materi : Buku Wajib & Sumber Materi :
Understanding Knowledge Management Concept and Application
Buku Wajib & Sumber Materi :
Turban, Efraim, R. Kelly Rainer and Richard E. Potter (2003). Introduction to Information Technology. Second Edition. John Wiley & Sons, Inc. Bab 11

2. DSS Sensitivity Analysis What-if Analysis Goal-seeking Analysis
the study of the effect that changes in one or more parts of a model have on other parts of the model
What-if Analysis
checks the impact of a change in the assumptions or other input data on the proposed solution
Goal-seeking Analysis
find the value of the inputs necessary to achieve a desired level of output

3. DSS Components and Structure of DSS Data Management User Interface
Includes the database(s) containing relevant data for the decision situation
User Interface
Enables the users to communicate with and command the DSS
Model Management
Includes software with financial, statistical, management science, or other quantitative models
Knowledge Management
Provides knowledge for solution of the problem; supports any of the other subsystems or act as an independent component

4. DSS

5. Enterprise Decision Support
Executive Information Systems
Meet information needs of executives
Very limited time
Need to monitor and identify problematic trends
Need external as well as internal information
Rapid access to data needed to executives
Very easy user interface
Highly graphical
Often connected with online information services
Incorporates

6. Enterprise Decision Support
Executive Information Systems
Capabilities of EIS
Drill down
Critical success factors and key performance indicators
Status access
Trend analysis
Ad hoc analysis
Exception reporting
Intelligent EIS
Integration with DSS; web accessibility

7. Enterprise Decision Support
Group Decision Support Systems
Facilitate solution of semistructured and unstructured decisions by a group of decision makers
Help the group be productive by mitigating some negative group behaviors
Support the group’s process by encouraging idea generation, improving communication, and applying analytical tools as needed to the problem

8. Enterprise Decision Support
GDSS Implementations
Face-to-face meetings – special ‘decision room’ created with linked computers and GDSS software; use is facilitated by trained leader
Corporate ‘war room’ – information displayed graphically and analyses conducted for all to see
Support for virtual teams – collaborative team tools for geographically dispersed teams; support discussion, calendars, polling, etc.

9. What can we do with the stored data?
Data mining – intelligent search of data stored in data marts or warehouses
Find predictive information
Discover unknown patterns
End users perform mining tasks with very powerful tools
Mining tools apply advanced computing techniques (learning, intelligence)

10. Data Mining and Analysis Concerns
Ethical Issues
Valuable data-mined information may violate individual privacy
Who is accountable for incorrect decisions that are based on DSS?
Human judgment is fallible
Job loss due to automated decision making?
Legal Issues
Discrimination based on data mining results
Data security from external snooping or sabotage
Data ownership of personal data

11. Data Visualization
Analyzed data can be even more useful if presented using Data Visualization techniques
Visual Interactive Modeling – graphic display of decision consequences
Visual Interactive Simulation – simulation model is animated and can be viewed and modified by decision maker
Geographic Information Systems – display data related to geographic location using digitized maps

12. What is Knowledge Management?
Key Concepts
Knowledge assets - regarding markets, products, technologies, and organizations that a business owns or needs to own
Best practices - collection of the most successful solutions and/or case studies
Intellectual capital - collection of knowledge amassed by an organization over the years
Knowledge system - collects knowledge, stores it in a database, maintains the database, and disseminates the knowledge to users
Competitive intelligence - collection of competitive information

13. IT Support for Knowledge Management
Knowledge identification – what is important?
Knowledge discovery and analysis – finding and organizing knowledge
Knowledge acquisition – going and getting needed knowledge by asking or promoting idea generation
Establishment of organizational knowledge bases – storing and organization corporate knowledge
Knowledge distribution and use – ensuring that those who need knowledge can access it

14. Implementing Knowledge Management
Reorganize as knowledge-based organizations
Created a new position, chief knowledge officer (CKO)
creating knowledge management infrastructure
building a knowledge culture
making it pay off
Facilitate organizational learning
learn from their experiences in order to survive

15. Promoting Idea Generation
Key source of knowledge is creative idea generation by individuals or groups
Software tools (GDSS) can promote productive idea generation for groups
Software tools also available for individuals to help stimulate creative production of ideas