Power BI as a tool for processing out quantitative and qualitative research results
Майя Володимирівна Попель
Institute of Information Technologies and Learning Tools of NAES of Ukraine
PDF (Українська)

Keywords

Power BI
Office 365
research institutions
researchers
processing of research results

How to Cite

Попель, М. (2018). Power BI as a tool for processing out quantitative and qualitative research results. New Computer Technology, 16, 116-121. Retrieved from https://ccjournals.eu/ojs/index.php/nocote/article/view/825
PDF (Українська)

Abstract

The aim of this study is to analyze the opportunities and justify the appropriateness of using Power BI as a component of Office 365 in the activities of a scientist and research unit. Objectives of the study is outline the advantage of using Power BI; characterize and analyze existing Power BI licensed offers; the pedagogical expediency of using Power BI in the activities of a scientist and unit of a research institution. The object of research is the process of using Office 365 in the activities of a research institution. The subject of research is Power BI as a tool for Office 365. Research methods: analysis of documentation from the official site Power BI, observation, comparison, conversations with representatives of the company BIJB by the Center of competence BI. The paper considers the advantages of Power BI as the Office 365 tool in comparison with traditional electronic spreadsheet. A comparative analysis of the existing types of licensing that can be used in the activities of a scientist or research unit is conducted. Described is the possibility of using the free Desktop licensing, which will be sufficient to cover the main and intermediate results of a scientist or a unit of the research institution. Results of the study is the advantages of using Power BI as a tool for Office 365 to work out quantitative and qualitative research results are theoretically justified. Conclusions and recommendations: using Desktop Power BI to work out the results of a research experiment by a scientist will be quite enough. However, business unit research institution Desktop Power BI functionality will be very limited and not sufficiently responsive to the group of scientists.

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References

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