CEU eTD Collection (2022); Kucukoglu, Ersan: Product Based Monthly Prediction and Tracking of Plastic Packaging Weight

CEU Electronic Theses and Dissertations, 2022
Author Kucukoglu, Ersan
Title Product Based Monthly Prediction and Tracking of Plastic Packaging Weight
Summary The purpose of this Capstone Project is to assist the client, a company in the retail industry, in creating a data product with a business-driven data analytics approach. The project aims to build a data product that allows the user to see the sold plastic packaging in tones and compare it with the business goals by seeing the predicted outcome till the end of the business year. To reduce the negative impact on the environment, the business goal is to reduce the plastic packaging sold with its product by 20% by 2025. By developing a data product that calculates the KPI of plastic packaging sold by suppliers contracted with HU in tons and compares it with targets, immediate response in case of risk will be possible.
Supervisor János Divényi
Department Economics MSc
Full texthttps://www.etd.ceu.edu/2022/kucukoglu_ersan.pdf

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