Business & IT

Peer-reviewed scientific journal · Czech Technical University in Prague

ISSN 1805-3777 (print)
ISSN 2570-7434 (online)

Business & IT · Vol. XII(1) · 2022

How supply chain analytics improve business agility of manufacturing firms in Eastern Europe

Faddei Danylo Boryslav, Alexandra Danciu Barbaneagra, Maria Katarinae Kovacova

Journal
Business & IT, Vol. XII(1), pp. 2–11
Year
2022
DOI
https://doi.org/10.14311/bit.2022.01.01

Abstract

Objective - Rapid globalization and innovation have generated huge opportunities, as well as options in the marketplace for customers and firms. Naturally, competitive pressures have led to manufacturing and sourcing on a worldwide scale, resulting in a major rise in items. The article tries to determine the demand for actual time business intelligence in supply chain analytics. Design/methodology/approach - The paper provides analysis and argument of the benefits, as well as hurdles in BI. Results - The paper focuses on the need to revisit the standard BI idea, which combines and consolidates info in a company, to help companies which are service oriented and looking for retention and customer loyalty. Improving effectiveness and efficiency of supply chain analytics working with a BI strategy is crucial to a company's potential to attain the competitive advantage. Originality/value - This paper furthers comprehension of the problems that involve the use of BI devices in supply chains.

Keywords

Supply chain management, Information, Business analysis systems, manufacturing, Eastern Europe

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How to cite (APA)

Faddei Danylo Boryslav, Alexandra Danciu Barbaneagra, Maria Katarinae Kovacova (2022). How supply chain analytics improve business agility of manufacturing firms in Eastern Europe. Business & IT, Vol. XII(1), pp. 2–11. https://doi.org/10.14311/bit.2022.01.01

Editorial information: Business & IT, ISSN 2570-7434, Creative Commons licence CC BY 4.0, published by CTU in Prague, 2022. https://bit.fsv.cvut.cz/