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Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Anastasiya Levina
The Automation of Dance Club Selections in Order to Form a Program of Projects
Business Informatics
(Bachelor’s programme)
2016
The paper identifies the main problems of project management, which arise at the stage of selecting projects, namely projects do not well aligned with business goals; prioritization is a challenge for many companies.

Using the IDEF0 methodology the functional model of program management for dance projects is built in accordance with «The Standard for Program Management» developed by Project Management Institute. To represent cause-effect relationships Petri nets are used. They help to solve problems associated with cause-effect analysis in parallel and asynchronous systems. Due to these models main steps for selecting clubs are defined, which include different indicators such as: financial profitability, success of dance clubs, alignment with the objectives of the dance shows.

To design a data warehouse methodology IDEF1X is used. This data warehouse provides managers with information about financial circumstances of dance clubs; characteristics of dance clubs, which define their prestige and cash flows of future dance events. Implemented procedures and functions allow to retrieve information from the data warehouse in order to select projects in accordance with previously defined steps.

The algorithm of selecting clubs to form a program is developed with the help of UML activity diagram. This algorithm includes economic measures, non-economic quantitative and qualitative indicators, which increase the efficiency of the selection. To perform the prioritization procedure the formula consisting of all factors mentioned above is prepared to score clubs.

For the automated selection of clubs a site and a C# application are designed. The site have information about news, the request form and the document for fair information given in the request. The application allow to make a selection by stages described in the algorithm.

To conclude, the algorithm will allow investors to select the best dance clubs for dance events.

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