Improving the Method of Predictive Analytics for the Market of Perishable Foods

Student: Son Elena

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Computer Systems and Networks (Master)

Year of Graduation: 2017

The method submiting results of operation of predictive analytics which is clearly displaying cause-effect relations in decision-making by machine (by algorithm) at formation of the plan of production of perishable goods. The decision is implemented with use of technologies of Microsoft Power BI that show values of correlation on features affecting the structure of the nomenclature and quantity of produced items.

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