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Decision Support and Artificial Intelligence

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DSS (Decision Support System) is a highly flexible and interactive IT system ... http://www.informationweek.com/shared/printableArticle?doc_id=IWK20021112S0 001 ... – PowerPoint PPT presentation

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Title: Decision Support and Artificial Intelligence


1
Chapter 4
  • Decision Support and Artificial Intelligence

2
How You Make a Decision
  • Intelligence
  • Find what to fix
  • Design
  • Find fixes
  • Choice
  • Pick the fix
  • Implementation
  • Apply the fix

3
Decision Support Systems
  • DSS (Decision Support System) is a highly
    flexible and interactive IT system that is
    designed to support decision making when the
    problem is not structured.
  • The primary objective of a DSS is to improve your
    effectiveness as a decision maker.

4
Components of a DSS
  • Even though DSS vary greatly, they typically
    share three characteristics
  • Data management component.
  • Model management.
  • User interface management.

5
Data Management Component
  • The data management component performs the
    function of storing and maintaining the
    information you want your DSS to use.
  • Organizational information
  • External information
  • Personal information
  • Personal information isnt necessarily accessible
    to the company-wide DSS

6
Model Management Component
  • Consists of both the DSS models and the DSS model
    management system.
  • Models can be thought of as simulators.
  • Example Flight simulator.
  • Models in a business setting can be statistical
    models allowing you to analyze data from a
    variety of vantages.

7
User Interface Management
  • The user interface management allows the user to
    communicate with the DSS.
  • This is the only part of the DSS where you have
    direct contact.

8
DSS and Lands End
  • Lands End has identified 20 different specialty
    target markets.
  • Consumers receive catalogs with items they are
    likely to buy from.
  • Saves Lands End money because they dont need to
    try and sell all of their products to all of
    their customers.

9
DSS and Lands End
  • Data Management
  • Stores customer and product information.
  • Also stores demographic (external) information.
  • Model Management
  • Models help Lands End decision makers decide
    what product lines they need to develop.
  • User Interface Management
  • Allows Lands End decision makers to access
    information and specify models.

10
GDSS --Group Decision Support Systems
  • GDSS is a type of decision support system that
    facilitates the formulation of and a solution to
    problems by a team.
  • GDSS facilitates team decision making by
    integrating
  • Groupware
  • DSS capabilities
  • Telecommunications

11
GDSS Group Decision Support System
  • A type of decision support system that
    facilitates the formulation of and solution to
    problems by a team.
  • Integrates
  • Groupware
  • DSS capabilities
  • Telecommunications

12
Groupware
  • Usually combines a suite of tools such as email,
    calendaring, and document management.
  • Product Examples
  • Microsoft Outlook
  • Novell GroupWise
  • IBM Lotus Notes/Domino
  • Oracle Collaboration Suite
  • Oracle Example
  • http//www.informationweek.com/shared/printableArt
    icle?doc_idIWK20021112S0001
  • Visa Norway Example
  • http//www.novell.com/success/visa_norway.html

13
Team Decision Making
  • Facilitator is often present
  • Brainstorming
  • At this level avoid discussing the merits or
    drawbacks of an idea.
  • Jot down the idea, build on it or move on.
  • Issue categorization and analysis
  • Arrange your ideas into manageable
    classifications.
  • Here you can toss out ideas that wont help solve
    your current problem.
  • Ranking and voting
  • Prioritize and vote on the ideas.

14
Meetings A Few Notes
  • Common sense issues that are too often forgotten.
  • If you are conducting the meeting
  • Prepare an agenda ahead of time.
  • If necessary, get meeting items by emailing
    others who will be attending the meeting.
  • Show up on time.
  • During the meeting, stick to your agenda.
  • If you stumble upon a tangent topic, you need to
    make a decision on how much time you want to
    spend on that topic.
  • Take it offline.
  • Often meeting items drag on and are unnecessarily
    revisited.
  • Set up a time to meet with that person after the
    meeting to discuss.

15
Meetings A Few Notes
  • Have someone keep the meeting minutes.
  • Follow-up on your minutes during the next
    meeting.
  • Dont just mention them. See what action has been
    taken on important issues.
  • Dont keep people past the scheduled meeting time
    unless it is productive.
  • Too many times, meetings run over because the
    person holding the meeting cant control the
    agenda.
  • Dont be afraid to politely cut someone off if
    they are trying to take away the agenda from you.
  • Yes, they will be angry, but you will win support
    from your other co-workers.

16
Meetings A Few Notes
  • You dont always have to meet for weekly
    scheduled meetings.
  • A lot of time is wasted because of routine.
  • Cancel the meeting if no one has anything new or
    important to add.
  • You may need to find out why nothing has happened
    or it just might be the current workflow.

17
Skipping These Topics
  • Geographic Information Systems
  • Same-Time Meetings
  • Different-Time Meetings

18
AI -- Artificial Intelligence
  • AI is the science of making machines imitate
    human thinking and behavior.
  • IT can further augment business brainpower by
    using AI.
  • What is the difference between a car (mechanical
    device) and a robot (intelligent device?)
  • The robot has the capability of taking action on
    its own, whereas the car does not.

19
Intelligent Agents
  • Software that assists you in performing
    repetitive tasks and it adapts itself to your
    preferences.
  • Four types of intelligent agents.
  • Find and retrieve agents.
  • User agents.
  • Monitor and surveillance agents.
  • Data-mining agents.

20
Find and Retrieve Agents
  • Buyer agents and shopping bots
  • Intelligent agents that look on the web for the
    product of your choice.
  • Retrieves prices.

21
User Agents
  • Intelligent agents that help an individual
    perform computer-related tasks.
  • Usually work in the background.
  • Example
  • Programs that automatically check for your email
    and alert you when it is something you want.
  • Agents that fill out forms on the web
    automatically for you.
  • Agents that scan web sites and highlight text
    that you are interested in.

22
Monitor and Surveillance Agents
  • Perform continual and repetitive tasks that keep
    working in the background.
  • Used in push technology
  • Sending information to your computer without a
    special request for it.
  • Email does not come at a pre-arranged time.
  • Example
  • Network monitoring agents that examine the load
    on a network to make sure it has ample memory.
  • Sun Microsystems new idea for network computing.

23
Data Mining Agents
  • Operates in a data warehouse discovering
    information.

24
SETI
25
In-class Shopping Exercise
  • Page 153 in text.
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