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[D] Using business intelligence to analyse sport association's financial data

MASTER Assignment

Using business intelligence to analyse sport associations' financial data

Type : Master M-CS

Period: Apr, 2020 - Feb, 2021

Student : Palm, A.J. (Arthur, Student M-CS)

Date Final project: February 9, 2021

Thesis

Supervisors:

M. Breman (SWS)
S.R. de Wit

Abstract:

The goal of this master thesis project is to create a simple business intelligence tool for the visualization of the financial and infrastructure data of sport clubs. This tool includes data analysis methods for a clear representation of the data. The proposed domains in data science related to this work is based on business intelligence techniques, in particular, data visualization and data mining. Data visualization has been used to represent the data from different perspectives and data mining was used to discover patterns in the dataset. For data visualization, the tool called tableau was used and the data mining algorithms Subgroup Discovery algorithms have been used.