BI Tools Analysis According to Business Criteria as Data Integration Possibilities, Hardware Specifi cation, Tools for Data Visualization and Comparison of Used Technologies

Bocevska, Andrijana and Savoska, Snezana and Milevski, Ivan (2017) BI Tools Analysis According to Business Criteria as Data Integration Possibilities, Hardware Specifi cation, Tools for Data Visualization and Comparison of Used Technologies. In: Information Systems & Grid Technologies Eleventh International Conference ISGT’2017, September 29 – 30, 2017., Sofia, Bulgaria.

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Abstract

B usiness Intelligence (BI) is software tool that transforms raw data into information and knowledge, enabling managers to identify, develop or create new strategic business opportunities. Nowadays, BI tools are widely accepted, given that they provide direct access to users with intuitive information generated by realtime data, which can create a competitive advantage. This paper analyzes business intelligence software tools that are highest positioned at the Business intelligence Gartner’s Magic Quadrant (QlikView, Tableau and Microsoft PowerBI) from a multi-criteria perspective in order to get an idea of the key performance indicators, such as: data integration capabilities, hardware specifi cations, tools for data visualization and comparison of the used technologies. The theoretical analysis is mainly based on the research from available literature on Internet and the visualizations are derived from the practical application of these software tools. The acquired knowledge in this paper will be particularly important for users interested for this kind of software to gain more knowledge when choosing the appropriate BI solution to meet their specific business needs

Item Type: Conference or Workshop Item (Speech)
Subjects: Scientific Fields (Frascati) > Natural sciences > Computer and information sciences
Divisions: Faculty of Information and Communication Technologies
Depositing User: Fikt Eprints
Date Deposited: 14 Mar 2020 13:14
Last Modified: 14 Mar 2020 13:14
URI: http://eprints.uklo.edu.mk/id/eprint/4162

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