Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/8266
Title: | Advanced analytics of Big Data using Power BI: Credit Registry Use Case | Authors: | Fisnik Doko Igor Miskovski |
Keywords: | Big Data, Power BI, Credit Registry | Issue Date: | 8-May-2020 | Publisher: | Ss. Cyril and Methodius University in Skopje, Faculty of Computer Science and Engineering, Republic of North Macedonia | Series/Report no.: | CIIT 2020 full papers;20 | Conference: | 17th International Conference on Informatics and Information Technologies - CIIT 2020 | Abstract: | Big Data is emerging trend which brings and the need for more effective data analysis and visualization to get new knowledge and to leverage the benefits of advanced analytics of the volume of data they collect without IT knowledge. Analyzing and visualizing large volumes of data in financial services often suffers from performances in traditional systems with traditional tools. For understanding the data through visualization, we have tried various approaches but this described in the paper with Power BI was the most efficient. This paper aims to provide use case of effective implementation of Power BI tools in banking, more specifically in Credit Registry database, using the methodology of Big Data analytics and the features of Power BI tool. | URI: | http://hdl.handle.net/20.500.12188/8266 |
Appears in Collections: | International Conference on Informatics and Information Technologies |
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CIIT2020_paper_20.pdf | 1.29 MB | Adobe PDF | View/Open |
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