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Introduction to DSS


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Introduction to DSS

  1. 1. Introduction to Decision Support System<br />Soetam Rizky<br />
  2. 2. What is dss ?<br />
  3. 3. DSS ?<br />an interactive computer-based system or subsystem intended to help decision makers use communications technologies, data, documents, knowledge and/or models to identify and solve problems, complete decision process tasks, and make decision<br />interactive computer-based system <br />
  4. 4. DSS ?<br />general term for any computer application that<br /> enhances a person <br />or group’s ability to make decisions.<br /> enhances a person <br />or group’s ability to make decisions.<br />
  5. 5. DSS ?<br />a computer-based system that represents and processes knowledge in ways that allow decision making to be more<br /> productive, agile, innovative, <br />and/or reputable<br /> productive, agile, innovative, <br />and/or reputable<br />
  6. 6. DSS ?<br />academic field of research that involves designing and studying Decision Support Systems in their context of use.<br />
  7. 7. Before we continue….<br />DSS should be :<br />interactive computer-based system<br />enhances a person or group’s ability to make decisions<br />More productive, agile, innovative, and/or reputable<br />
  8. 8. DSS ?<br />
  9. 9. Why we learn dss ?<br />
  10. 10. DSS for IS<br />Increasing complexity of decisions<br />Technology<br />Information:<br /> “Data, data everywhere, and not the time to think!”<br />Number and complexity of options<br />Pace of change<br />Increasing availability of computerized support<br />Inexpensive high-powered computing<br />Better software<br />More efficient software development process<br />Increasing usability of computers<br />
  11. 11. Let’s get realistic….<br />For your final project ?<br />Fearness :<br />Is it all about algorithm ?<br />Is it hard to do ?<br />Am I capable to do this ?<br />Confusion :<br />I don’t have the problem<br />I am very weak at math<br />Programming must be difficult<br />
  12. 12. Let’s get realistic….<br />IS + DSS = Value added IS<br />IS + DSS = easy to do <br />IS + DSS = should be easy to represent<br />IS + DSS = should be fast if you already have the IS<br />IS + DSS = should be easier because you have focus in it<br />
  13. 13. Before we continue…<br />This course :<br />should not teach many algorithms<br />Should just teach the concept and introductory<br />Should be resulting good project for your final project proposal<br />Should become the door to open your mind before you graduate<br />
  14. 14. Decision <br />
  15. 15. Decision ?<br />Decision: a reasoned choice among alternatives<br />Examples:<br />Where to advertise a new product<br />What stock to buy<br />What movie to see<br />Where to go for dinner<br />Decision Making: a process of choosing among alternative courses of action for the purpose of attaining a goal or goals<br />
  16. 16. Decision-Making Process <br /><ul><li>Solution to the original problem
  17. 17. Failure: Return to the modeling process</li></ul>Intelligence<br />Design<br />Choice<br />Implementation<br /><ul><li>Reality is examined
  18. 18. The problem is identified and defined
  19. 19. Representative model is constructed
  20. 20. The model is validated and evaluation criteria are set
  21. 21. Includes a proposed solution to the model
  22. 22. If reasonable, move on to the implementation</li></li></ul><li>Type of Decision<br />Unstructured<br />Structured<br />Semi-Structured<br />
  23. 23. Before we continue…..<br />So, is MIS course has already being forgotten ?<br />Do you really think management science is non-sense ?<br />Do you already think that expert system and artificial intelligence is nothing ?<br />Have you already have final project proposal ?<br />
  24. 24. 19<br />Information Characteristics<br />
  25. 25. Before we continue….<br />Still remember these terms ?<br />Data<br />Information<br />
  26. 26. Let’s take a break<br />
  27. 27. What you will need….<br />Have you passed :<br />Management Science <br />Linear Algebra <br />Expert System<br />Artificial Intelligence<br />Human Computer Interaction<br />Management Information System<br />
  28. 28. What you will need…<br />Find a lot of :<br />Problems domains<br />Solutions feasibility<br />Algorithms alternative<br />Be creative for :<br />Your final project<br />Your future solution<br />
  29. 29. What you will get…<br />Introduction to DSS<br />DSS architecture<br />DSS modeling<br />DSS implementation<br />Simulation and solution<br />Final project as final term<br />
  30. 30. Quizzes <br />Small quiz :<br />Assignments <br />Proposal<br />Big quiz = presentation<br />
  31. 31. Final project<br />No group allowed<br />Submit the proposal<br />Present your proposal<br />Implement your proposal<br />If feasible, go on to your final project<br />
  32. 32. Final project<br />Proposal : week 2<br />Revision and finalization : week 3 -5 <br />First presentation : week 6 – 7<br />Second presentation : 9 – 10<br />Final demo : 14 - 16<br />
  33. 33. Proposal’s content<br />Background<br />Purposes<br />Boundaries<br />Submit it next week <br />
  34. 34. Before we continue…..<br />Please keep in mind, that the course is not about teaching algorithm<br />It’s should be your final mandatory course in class<br />So, it’s the aggregation of all your knowledge…..<br />
  35. 35. taxonomies<br />
  36. 36. Types of DSS<br />uses storage and processing technologies to document retrieval and analysis. It manages, retrieves and manipulates unstructured information in a variety of electronic formats<br />provides specialized problem solving expertise stored as facts, rules, procedures, or in similar structures. It suggest or recommend actions to managers.<br />emphasizes access to and manipulation of a statistical, financial, optimization, or simulation model. Model-driven DSS use data and parameters provided by users to assist decision makers in analyzing a situation; they are not necessarily data intensive<br />use network and communication technologies to facilitate collaboartion on decision making. It supports more than one person working on a shared task<br />emphasizes access to and manipulation of a time series of internal company data and, sometimes, external data.<br />
  37. 37. IS to support decisions<br />
  38. 38. Before we continue….<br />Still thinking of common MIS ?<br />
  39. 39. summary<br />
  40. 40. What we already learn…<br />DSS should be interactive, have ability to make decisions, become more productive, agile and innovative<br />DSS is the aggregate of your knowledge<br />
  41. 41. What we already learn…<br />Decision making process from intelligence to implementation<br />DSS includes analytical, ad hoc, adaptable and modeling before we implement them<br />
  42. 42. Questions / Comments ?<br />