Courses Master Display 2013-2014
|Course Description||To PDF|
|Course title||Business intelligence case studies|
Stan van Hoesel
For more information: firstname.lastname@example.org
|Language of instruction||English|
This skill aims at getting hands-on experience in analysing managerial decision processes, using available data, and using quantitative techniques for decision making.
This course treats the theory and practice of Business Intelligence. Tools for the analysis of data are discussed, as well as methods for discovering knowledge from information and using this knowledge for intelligent decision making.
The first part of the theory consists of Business Performance Management, including Quality Management, and business analytics. We create dash-boards on which management can base its strategic decisions. Cases are taken from Health care management, and hotel quality management. Revenue (or yield) management in the services industry completes the first part. One case from practice is how yield maximization at Ryanair is performed; another one uses simulation to analyse the profitability of investments in a building for office rental. A third case analyses and optimizes the product portfolio of a telecom operator.
The second part consists of applying up-to-date data mining techniques. These techniques will be implemented and used with Excel based software. We study how (and how not) to extract information from large data bases with techniques such as clustering, neural networks, and decision trees. Cases are selected from the literature and our own research experience:, a financial institution develops a tool for mortgage acceptance .
Note: a selection of four or five cases is made from the set mentioned here, and newly developed cases based on current topical developments.
Articles available through ELEUM. Text book for the second part: Data mining for business intelligence, by Shmueli et al.
Basic mathematics, statistics and finance.
|Teaching methods (indicative; course manual is definitive)||PBL / Presentation / Lecture / Assignment / Groupwork|
|Assessment methods (indicative; course manual is definitive)||Final Paper / Participation|
|Evaluation in previous academic year||For the complete evaluation of this course please click "here"|
|This course belongs to the following programmes / specialisations||