Enhancing operational efficiency with business intelligence: Industrial applications

In the rapidly evolving world of business intelligence (BI) and data analytics, Microsoft Power BI Desktop has become a key tool for data visualization and improving decision-making across various sectors.This article examines the development of Power BI Desktop since its introduction in 2017 and provides a detailed analysis of its applications across different industries, with a focus on manufacturing.The aim was to create an analytical tool that would meet the specific requirements of a company facing challenges in efficiently processing and visualizing large amounts of data.As part of this research, we developed a dashboard in collaboration with a manufacturing company, designed according to its needs.In the process of selecting the tool, we compared Power BI Desktop with other popular tools such as Tableau and Qlik Sense.We found that Power BI Desktop best suited the company's needs, especially in terms of cost-effectiveness, ease of integration with existing systems, and the ability to customize visualizations for different organizational needs.This tool provided valuable analytical insights that helped identify areas for improvement, such as optimizing manufacturing processes and reducing downtime.The results show how the use of Power BI Desktop led to significant improvements in operational efficiency and supported strategic decision-making.This paper contributes to the literature on practical applications of Power BI Desktop in real business conditions, providing concrete examples and recommendations for further use of this tool in various industrial sectors.

Authors

Publication Details

Journal
Advances in Science and Technology – Research Journal
Published
2025-04-07
DOI
https://doi.org/10.12913/22998624/203797
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing operational efficiency with business intelligence: Industrial applications

Milan Fiľo, Ján Slota, Michaela Kočišová, Dominika Sukopová
1 citations
Advances in Science and Technology – Research Journal
Big Data and Business Intelligence
2.28
article

Enhancing operational efficiency with business intelligence: Industrial applications

Milan Fiľo, Ján Slota, Michaela Kočišová, Dominika Sukopová
article en
1 citations

Abstract

In the rapidly evolving world of business intelligence (BI) and data analytics, Microsoft Power BI Desktop has become a key tool for data visualization and improving decision-making across various sectors.This article examines the development of Power BI Desktop since its introduction in 2017 and provides a detailed analysis of its applications across different industries, with a focus on manufacturing.The aim was to create an analytical tool that would meet the specific requirements of a company facing challenges in efficiently processing and visualizing large amounts of data.As part of this research, we developed a dashboard in collaboration with a manufacturing company, designed according to its needs.In the process of selecting the tool, we compared Power BI Desktop with other popular tools such as Tableau and Qlik Sense.We found that Power BI Desktop best suited the company's needs, especially in terms of cost-effectiveness, ease of integration with existing systems, and the ability to customize visualizations for different organizational needs.This tool provided valuable analytical insights that helped identify areas for improvement, such as optimizing manufacturing processes and reducing downtime.The results show how the use of Power BI Desktop led to significant improvements in operational efficiency and supported strategic decision-making.This paper contributes to the literature on practical applications of Power BI Desktop in real business conditions, providing concrete examples and recommendations for further use of this tool in various industrial sectors.

Advances in Science and Technology – Research JournalVol. 19(7)
Agentúra na Podporu Výskumu a Vývoja, Kultúrna a Edukacná Grantová Agentúra MŠVVaŠ SR, Narodowa Agencja Wymiany Akademickiej
Industry, innovation and infrastructure
Openalex Percentile: Top 12%
Big Data and Business Intelligence
2.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.