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Segmentation Project: Study Abroad for the Summer
The purpose of this assignment is for you to gain experience in identifying, analysing, and providing
a solution to a decision support problem. You are to work to identify a problem in some
organization, and to design a computerized solution to support decision making for that problem.
Your solution may be either model-centric, data-centric, or a combination of the two.
Deliverable for the assignment: a word-processed report (approximately 3,000- 4,000 words
equivalent)
Report Guidelines
The report should be word-processed (3,000 to 4,000 words in length), and should address the
following:
Part 1: Description of organization and decision problem Describe the organization and the decision
problem.
Guide questions:
� What are the organization�s goals?
� How is the problem impacting on the ability of the organization to meet those goals?
� How structured is the problem?
� Where does the problem lie on the Gorry and Scott-Morton framework?
Part 2: The decision-making process Discuss the decision-making process using Simon�s four-phase
framework (described in lectures, and in Section 2.4 to 2.8 of the Turban, Sharda and Delen text).
Guide questions:
� How was the problem identified?
� Whose problem is it?
� Can the problem be classified into a standard category? If so, what type of problem is it?
� How could the problem be modelled (e.g., data-driven modelling, optimization, simulation, etc.?)
� What are some of the alternatives?
� What are the decision variables?
� What is the principal of choice?
Part 3: Description of Solution and Sample Data In Part 2, you should have identified a number of
alternative solutions. In this part of the report you should describe in detail the particular solution
that you have implemented, and the data that you have used to test it.
Notes:
1. The specific details that you include will depend on the type of solution that you have designed.
For example, if your solution is more model-oriented (e.g., based on simulation), then you will need
to describe the formulas and equations used to perform the calculations, simulations, etc.; if your
solution is more data-oriented, then you will need to focus on the data mining techniques that you
2. You must include a description of the data and any other information that you have used in your
model. For example, for data-oriented solutions you will probably have created a .csv file to store
your raw data. Describe this data (e.g., number of records, number of fields, types of fields, etc.) If
you acquired this data from some existing data source, identify the source. If you created mock
data, describe the criteria which guided your choices. The complete data set that you used should
be included as an appendix to the report.
3. The data should be realistic. In most cases you will probably have to invent mock data, and in
such a case you should make sure that the sample data is similar to the real data that you might
expect to observe in this type of problem scenario. In regards to the amount of data that you use,
this need not be excessive, but should be sufficient to test your solution.
Part 4: Evaluation
Evaluate the success of your solution.
Guide questions:
� How well does it solve the problem that you have identified?
� What are its advantages?
� What are its shortcomings?
� How could the solution be improved?
Notes:
� The problem that you select must not be trivial. It should be a problem for which computerized
support is genuinely required. Problems deemed to be overly simple will not receive good marks.
� The �guide questions� included above are intended solely to provide you with ideas to help
you generate your discussions. Do not treat these as a �checklist�. Make your discussions as indepth as is appropriate for your problem/solution.
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