IS425Exam1ch3

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tttran1
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IS425Exam1ch3
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2013-03-04 10:54:03
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  1. DSS have three basic components
    • 1. Data
    • 2. Model
    • 3. User interface
    • 4. (+ optional) Knowledge
  2. Holsapple and Whinston's Classification
    • 1. The text-oriented DSS
    • 2. The database-oriented DSS.
    • 3. The spreadsheet-oriented DSS
    • 4. The solver-oriented DSS
    • 5. The rule-oriented DSS (include most knowledge-driven DSS, data mining, management, and ES applications)
    • 6. The compound DSS
  3. Alter's Output Classification
    • Based on the "degree of action implication of system outputs" or the extent to which system outputs can directly support (or determine) the decision
    • Data
    • -File drawer systems
    • --access data items
    • -data analysis systems
    • --ad hoc analysis of data files
    • Data or models
    • -analysis information systems
    • --ad hoc analysis involving multiple databases and small models
    • Models
    • -accounting models
    • --standard calculations that estimate future results on the basis of accounting definitions
    • -optimization models
    • --calculating an optimal solution to a combinatorial problem
  4. Components of DSS
    • -Data Management Subsystem
    • --Includes the database that contains the data
    • --Database management system (DBMS)
    • --Can be connected to a data warehouse
    • -Model Management Subsystem
    • --Model base management system (MBMS)
    • -User Interface Subsystem
    • -Knowledgebase Management Subsystem
    • --Organizational knowledge base
  5. Overall Capabilities of DSS
    • -Easy access to data/models/knowledge
    • -Proper management of organizational experiences and knowledge
    • -Easy to use, adaptive and flexible GUI
    • -Timely, correct, concise, consistent support for decision making
    • -Support for all who needs it, where and when he/she needs it
    • -more...
  6. DSS Components and Web Impacts
    • -Impacts of Web to DSS
    • --Data management via Web servers
    • --Easy access to variety of models, tools
    • --Consistent user interface (browsers)
    • --Deployment to PDAs, cell phones, etc. …
    • -DSS impact on Web
    • --Intelligent e-Business/e-Commerce
    • --Better management of Web resources and security,
    • --… (see Table 3.3 for more…)
  7. DSS Components: Data Management Subsystem
    • -DSS database
    • -DBMS
    • -Data directory
    • -Query facility
  8. Database Management Subsystem Key Data Issues
    • -Data quality
    • -“Garbage in/garbage out" (GIGO)
    • -Data integration
    • -“Creating a single version of the truth”
    • -Scalability
    • -Data Security
    • -Timeliness
    • -Completeness, …
  9. 10 Key Ingredients of Data (Information) Quality Management
    • 1. Data quality is a business problem, not only a systems problem
    • 2. Focus on information about customers and suppliers, not just data
    • 3. Focus on all components of data: definition, content, and presentation
    • 4. Implement data/information quality management processes, not just software to handle them
    • 5. Measure data accuracy as well as validity
    • 6. Measure real costs (not just the percentage) of poor quality data/information
    • 7. Emphasize process improvement/preventive maintenance, not just data cleansing
    • 8. Improve processes (and hence data quality) at the source
    • 9. Educate managers about the impacts of poor data quality and how to improve it
    • 10. Actively transform the culture to one that values data quality
  10. DSS Components: Model Management Subsystem
    • -Model base
    • -MBMS
    • -Modeling language
    • -Model directory
    • -Model execution, integration, and command processor
    • Slide30
    • -Model base (= database ?)
    • -Analytic models
    • -Model building blocks
    • -Modeling tools
    • -Model directory
    • -Model execution, integration and command
  11. Model Management Subsystem: The four (4) functions
    • 1. Model creation, using programming languages, DSS tools and/or subroutines, and other building blocks
    • 2. Generation of new routines and reports
    • 3. Model updating and changing
    • 4. Model data manipulation
  12. Model Management Subsystem: Model Types
    • -Strategic models
    • -Tactical models
    • -Operational models
  13. DSS Components: User Interface (Dialog) Subsystem
    • -Interface
    • --Application interface
    • --User Interface
    • ---Graphical User Interface (GUI)
    • -DSS User Interface
    • --Portal
    • ---Graphical icons
    • --Dashboard
    • --Color coding
    • -Interfacing with PDAs, cell phones, etc.
    • Slide33
  14. DSS Components: Knowledgebase Management System
    • -Incorporation of intelligence and expertise
    • -Knowledge components:
    • --Expert systems,
    • --Knowledge management systems,
    • --Neural networks,
    • --Intelligent agents,
    • --Fuzzy logic,
    • --Case-based reasoning systems, and so on
    • -Often used to better manage the other DSS components
  15. DSS Components: Future/current DSS Developments
    • -Hardware enhancements
    • --Smaller, faster, cheaper, …
    • -Software/hardware advancements
    • --data warehousing, data mining, OLAP, Web technologies, integration and dissemination technologies (XML, Web services, SOA, grid computing, cloud computing, …)
    • -Integration of AI -> smart systems

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