Development of Intellectual Information and Analytical System Using Cloud Technologies

Gulnur Tyulepberdinova, Olzhas Suleimen

2022

Closed access Metadata (CSL-JSON)
DOI 10.1109/sist54437.2022.9945702
Data confidence 70 medium
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Abstract

The article discusses the development of an intelligent information and analytical system for assessing students' health. The object of the research was the first-year students of the Al-Farabi Kazakh National University. They were interviewed by the International Healthy Behavior Network (HBSC). We analyzed the survey results using the cloud. For the analysis, an ASP.NET application provided by the Visual Studio programming environment, Power BI desktop and R programming language, OneDrive cloud database was used. Along with the visualization of analytical work in the developed system, analytical conclusions were drawn for each indicator. The data was retrieved from Univer and uploaded to the OneDrive cloud environment. The data transformation was done in Power Query. Power BI was used for data modeling and data analysis, and for connecting to the web platform.