Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

The Impact of Data Science Solutions on the Company Turnover

Marian Pompiliu Cristescu
ORCID logo ,
Dumitru Alexandru Mara
* ORCID logo ,
Lia Cornelia Culda
ORCID logo ,
Raluca Andreea Nerișanu
ORCID logo ,
Adela Bâra
ORCID logo ,
Simona-Vasilica Oprea
ORCID logo
Version 1 : Received: 7 September 2023 / Approved: 7 September 2023 / Online: 8 September 2023 (13:33:43 CEST)

A peer-reviewed article of this Preprint also exists.

Cristescu, M.P.; Mara, D.A.; Culda, L.C.; Nerișanu, R.A.; Bâra, A.; Oprea, S.-V. The Impact of Data Science Solutions on the Company Turnover. Information 2023, 14, 573. Cristescu, M.P.; Mara, D.A.; Culda, L.C.; Nerișanu, R.A.; Bâra, A.; Oprea, S.-V. The Impact of Data Science Solutions on the Company Turnover. Information 2023, 14, 573.

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 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 application and business revenue. Employing a comprehensive evaluation of Eurostat datasets from 2014 to 2021, we used both univariate and multivariate analyses, we assessed e-commerce sales data across countries, focusing on the usage of big data and CRM tools. 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 a negative correlation. 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.

Keywords

Big Data Analytics; Revenue Generation; Customer Relationship Management (CRM)

Subject

Computer Science and Mathematics, Analysis

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Download PDF

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0
Get PDF Cite Share 0
Bookmark BibSonomy Mendeley Reddit Delicious
×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.