Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/8266
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dc.contributor.authorFisnik Dokoen_US
dc.contributor.authorIgor Miskovskien_US
dc.date.accessioned2020-05-22T07:57:18Z-
dc.date.available2020-05-22T07:57:18Z-
dc.date.issued2020-05-08-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/8266-
dc.description.abstractBig 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.en_US
dc.language.isoenen_US
dc.publisherSs. Cyril and Methodius University in Skopje, Faculty of Computer Science and Engineering, Republic of North Macedoniaen_US
dc.relation.ispartofseriesCIIT 2020 full papers;20-
dc.subjectBig Data, Power BI, Credit Registryen_US
dc.titleAdvanced analytics of Big Data using Power BI: Credit Registry Use Caseen_US
dc.typeProceeding articleen_US
dc.relation.conference17th International Conference on Informatics and Information Technologies - CIIT 2020en_US
item.grantfulltextopen-
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Appears in Collections:International Conference on Informatics and Information Technologies
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