Abstract
The article discusses the possibilities of studying the state of the social sphere according to the repository of the open data portal of the Government of Moscow for administrative districts and urban districts using business intelligence platforms and intelligent technologies of Data Science and machine learning platforms. The possibilities of using machine learning technologies for business intelligence platforms to identify hidden patterns in order to make informed management decisions are presented.
 Purpose – is to familiarize with business intelligence platforms; the use of intelligent BI-platform technologies for monitoring socio-economic indicators.
 Method or methodology of the work: the clustering method and statistical research methods were used in the article.
 Results: to confirm the hypothesis of a positive relationship between the number of families receiving subsidies in the city of Moscow, in various sections, and the number of appeals of citizens to the open portal of the Government of Moscow
 Practical implications: the objective information obtained as a result of monitoring can be used to develop a strategy and make management decisions on the development of districts and improving the quality of life in Moscow
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
