As we noted in the introduction, data warehousing -- the systematic accumulation of large
amounts of data from multiple sources -- and data mining -- techniques for extracting
meaning from those data -- have become the hallmarks of virtually all large organizations
and many smaller ones. As the costs of acquiring data continued to plummet and the cost
of storing it almost approaches zero, network organizational databases have become
increasingly important to basic decision-making. While the jury is still out on whether
decisions made on the basis of processing large amounts of data are substantially better
than those made on other grounds, such as professional judgment and/or experience, there
is no doubt that this trend will continue and probably accelerate at least through the next
decade. Therefore, it becomes extremely necessary for prospective information
technology managers to understand how such databases are constructed and how they can
be used for decision purposes.
The first step in this case is to become moderately familiar with the terminology of
databases and data processing. Here are two good sources to give you this background; if
you are still uncertain about things or want to look into certain aspects in more detail, the
optional readings provide additional material for you to consult:
VCILT Web TV (20111) Introduction to Data Warehousing and Data Mining. Youtube
video. Retrieved December 20, 2011, from
http://www.youtube.com/watch?v=dGDuD10U4-M
Gunther, O. (2011) Database Management Systems. Slideshare Presentation. Retrieved
December 20, 2011, from http://www.slideshare.net/Databaseguys/o-gnther- database-
management-systems
When you feel somewhat comfortable with this language, please review the following
paper describing an exercise in data warehousing and data mining conducted by a
Nigerian university using data drawn from its own student records and learning
management system. Hopefully, this will resonate with your own experience, since
Trident University is hoping to implement its own learning management system soon and
use it not only to manage coursework but to collect useful data for planning purposes.
Please pay particular attention to the kinds of data being assembled and the kinds of
questions being asked of the data:
Akintola K.G., Adetunmbi A.O., and Adeola O.S. (2011) Building Data Warehousing
And Data Mining From Course Management Systems: A Case Study of Federal
University of Technology (FUTA) Course Management Information Systems.
Information Technology for People-Centred Development (ITePED 2011). Retrieved
December 20, 2011, from http://www.ncs.org.ng/wp-
content/uploads/2011/08/ITePED2011-Paper4.pdf
Case Assignment
When you've had a chance to read this article, review information from the background
readings and research other sources on your own, please prepare a short paper on the
topic:
Important information that Trident University might be able to obtain by
warehousing and mining student records and learning management system
data.
Assignment Expectations
Your paper should be between three and five pages. Take a definite stand on the issues,
and develop your supporting argument carefully. Using material from the background
information and any other sources you can find to support specific points in your
argument is highly recommended; try to avoid making assertions for which you can find
no support other than your own opinion.
Your paper should be short (5-7 pages, not including cover sheet and references) and to
the point. You are expected to:
relate the questions you identify to specific kinds of data
indicate why you believe that the questions you identify are important to the
University, and the kinds of decisions that you expect to be affected
identify any problems you see in assembling and/or analyzing the data
You will be particularly assessed on:
Precision: Your draw on a range of sources, and to establish your understanding
of the historical context of the question. You carried out the exercise as assigned,
or carefully explained the limitations that might have prevented your completing
some parts (running out of time isn’t generally considered an adequate limitation).
Support for assertions: You use examples, citations (especially to the required
readings), and elaboration to support assertions. You provide evidence that you
have read the required background materials.
Clarity: Your answers are clear and show your good understanding of the topic.
You see what the module is all about and to structure your paper accordingly.
Breadth and Depth: The scope covered in your paper is directly related to the
questions of the assignment and the learning objectives of the module.
Critical thinking: The paper incorporates YOUR reactions, examples, and
applications of the material to business that illustrate your reflective judgment and
good understanding of the concepts. It is important to read the "required readings"
posted in the background material plus others you