Using Heat Maps to Optimize Educational Business Processes in The Skill Box Company

The article addresses data analysis methods for solving the problem of choosing the best solution in order to optimize resources using the example of Skillbox company. The problems of choosing information resources are considered and solved, taking into account market offers. The author considers various methods of data analysis with an emphasis on minimizing the resources required for their processing. In the article, the author describes the practical application of the "Digital Assistant" program, which was developed by the Skillbox company to measure product metrics and analyze the behavior of students. Using the big data analysis methods described by the author, ways to optimize educational business processes that lead to an increase in the profitability of educational courses are considered. Heat maps are considered as one of the main ways to analyze big data, and their practical application is described. The author describes the relationship between business metrics and changes occurring with the educational product and suggests methods and frequency of surveys and feedback processing about the educational path of students.

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