Modern tools for predictive business analytics

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dc.contributor.authorZherlitsyn, D. M.
dc.contributor.authorЖерліцин, Д. М.
dc.date.accessioned2025-08-28T08:35:29Z
dc.date.issued2024
dc.description.abstractThe increasing need for analytical support in managerial decision-making demands continuous enhancement of predictive analytics tools to process, interpret, and visualize large datasets. These technologies enable tracking trends within the business environment, assessing potential risks, and making more informed decisions. Substantial contributions to identifying these trends have been made in recent years, especially in forecasting approaches within data analysis, machine learning, and neural networks.
dc.identifier.citationZherlitsyn D. M. Modern tools for predictive business analytics. International scientific conference “MININGMETALTECH 2024 – The mining and metals sector: integration of business, technology and education” : conference proceedings (November 28–29, 2024. Riga, the Republic of Latvia). Riga, Latvia : “Baltija Publishing”, 2024. Vol. 2. Р. 300-302. DOI: https://doi.org/10.30525/978-9934-26-506-8-213
dc.identifier.citation Zherlitsyn D. M. (2024). Modern tools for predictive business analytics. International scientific conference “MININGMETALTECH 2024 – The mining and metals sector: integration of business, technology and education” : conference proceedings (November 28–29, 2024. Riga, the Republic of Latvia). Riga, Latvia : “Baltija Publishing”, 2, 300-302. doi: https://doi.org/10.30525/978-9934-26-506-8-213
dc.identifier.doihttps://doi.org/10.30525/978-9934-26-506-8-213
dc.identifier.urihttps://dspace.mipolytech.education/handle/mip/2295
dc.language.isoen
dc.publisherBaltija Publishing
dc.titleModern tools for predictive business analytics
dc.title.alternativeСучасні інструменти прогнозної бізнес-аналітики
dc.typeThesis

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Кафедра прикладної економіки, бізнес-інжинірингу та проєктного менеджменту (ЕКОБІМ)