The Impact of Data Science Solutions on the Company Turnover

Author:

Cristescu Marian Pompiliu1ORCID,Mara Dumitru Alexandru1ORCID,Culda Lia Cornelia1,Nerișanu Raluca Andreea1ORCID,Bâra Adela2ORCID,Oprea Simona-Vasilica2ORCID

Affiliation:

1. Faculty of Economic Sciences, Lucian Blaga University of Sibiu, 550324 Sibiu, Romania

2. Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010374 Bucharest, Romania

Abstract

This study explores the potential of data science software solutions like Customer Relationship Management Software (CRM) for increasing the revenue generation of businesses. We focused on those businesses in the accommodation and food service sector across the European Union (EU). The investigation is contextualized within the rising trend of data-driven decision-making, examining the potential correlation between data science applications and business revenues. By employing a comprehensive evaluation of Eurostat datasets from 2014 to 2021, we used both univariate and multivariate analyses, assessing the percentage of companies that have e-commerce sales across the EU countries, focusing on the usage of big data analytics from any source and the use of CRM tools for marketing purposes or other activities. Big data utilization showed a clear, positive relationship with enhanced e-commerce sales. However, CRM tools exhibited a dualistic impact: while their use in marketing showed no significant effect on sales, their application in non-marketing functions had negative effects on sales. These findings underscore the potential role of CRM and data science solutions in enhancing business performance in the EU’s accommodation and food service industry.

Funder

Lucian Blaga University of Sibiu

Publisher

MDPI AG

Subject

Information Systems

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Potential Benefits of Integrating Business Intelligence and CRM;Advances in Marketing, Customer Relationship Management, and E-Services;2024-06-28

2. Strategizing Financial Management in the Age of AI for Enhanced Decision-Making and Predictive Analysis;2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies;2024-03-22

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