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.
Preview |
Text
BI Tools Analysis According to Business Criteria.pdf Download (290kB) | Preview |
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: | https://eprints.uklo.edu.mk/id/eprint/4162 |
Actions (login required)
 |
View Item |