Data Mining in Foodtech Industry

Student: Snovskiy Alexander

Educational Programme: Business Informatics (Bachelor)

Year of Graduation: 2020

The main objective of this paper is to conduct data analysis on comparatively new field of digital economics, gain insights and answer the question: “May data mining in foodtech industry deliver value for managers as it does in retail and telecom?”. Several methods are going to be used while reaching this target: firstly, will be given the description of the industry and specific data, which has a typical company, will be defined. The study will be based on researching the transactions dataset of one of Russian foodtech-companies, after clearing the data and application of different statistical methods to describe the data. Thereafter, the dataset will be explored with a couple of most applicable (and preselected) data mining methods. The result that we got will give an answer to the core issue of the paper.

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