The Role of Data Science in Business and Economics

Data science has emerged as a transformative force in business and economics, revolutionizing decision-making, operational efficiency, and market forecasting. The rapid growth of big data, combined with advancements in machine learning, artificial intelligence, and predictive analytics, has provided businesses and economic policymakers with powerful tools for analysis and strategic planning. This paper explores the significant purpose of data science in enhancing business performance and economic outcomes, highlighting its applications in various sectors such as marketing, finance, supply chain management, and economic forecasting. We also examine the methodologies employed in data science, along with the challenges and implications for future growth. The findings suggest that the incorporating of data science is critical to fostering innovation, improving competitiveness, and ensuring sustainable economic growth.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-01
DOI
https://doi.org/10.5281/zenodo.15119188
Primary Topic
Hops Chemistry and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

The Role of Data Science in Business and Economics

Zenodo (CERN European Organization for Nuclear Research)
Hops Chemistry and Applications
article

The Role of Data Science in Business and Economics

article en

Abstract

Data science has emerged as a transformative force in business and economics, revolutionizing decision-making, operational efficiency, and market forecasting. The rapid growth of big data, combined with advancements in machine learning, artificial intelligence, and predictive analytics, has provided businesses and economic policymakers with powerful tools for analysis and strategic planning. This paper explores the significant purpose of data science in enhancing business performance and economic outcomes, highlighting its applications in various sectors such as marketing, finance, supply chain management, and economic forecasting. We also examine the methodologies employed in data science, along with the challenges and implications for future growth. The findings suggest that the incorporating of data science is critical to fostering innovation, improving competitiveness, and ensuring sustainable economic growth.

Zenodo (CERN European Organization for Nuclear Research)
G.S. Science, Arts And Commerce College (IN)
Openalex Percentile: Top 47%
Hops Chemistry and Applications
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