Implementation and rating of Web-analysis solutions based on cloud services

Abstract

Problem. The total cost of ownership WEB-analytics of e-commerce sites is a very important aspect of the Internet business effectiveness. The thesis includes the modern solutions, architectures for solving the cross-cutting problem of creating and implementing WEB-analytics of e-commerce sites. Goal. The goal is to determine the optimal architecture of cloud services for the implementation of WEB-analytics of e-commerce sites. The object of research is the introduction of informationtechnology, services for building and implementation of ML models based on data WEB-analytics of e-commerce sites. The subject of the research is the architecture development for WEB-analytics and ML analysis of Google Analyticsdata. The scientific novelty of the work is to develop a methodology for rating cloud providers solutions which are compared according to the parameters of functionality and cost of the ownership. Methodology. The system analysis and analytical and empirical methods of research were used for development and testing of cloud solutions. Results. Solving includes investigation of the necessary tools, standards and indicators of WEB-analytics, architectures, technologies, services for the implementation of sites and integration of Google Analytics, ML solutions. Cloud solutions of different architectures were developed and tested. Practical value. Rating methodology was used for the best Cloud solutions estimation.