Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Data Mining Applications in SMEs: An Italian Perspective

Data Mining Applications in SMEs: An Italian Perspective AbstractBackgroundFrom the last decade, data mining techniques, employed in particular in customer relationship management, have assumed a key role in the profitability and operations of companies. To support small and medium companies (SMEs), several innovative and continuously improving tools have been developed that allow SMEs to utilize the internal and external data sources to increase their competitiveness.ObjectivesIn this paper, an analysis of the impact of digitalization, and in particular data mining techniques, in the context of SMEs development is presented.Methods/ApproachA review of various sources has been conducted, with the focus on open source tools, since in the context of the Italian economy they are used by SMEs the most.ResultsFirst, the analysis presents a brief review of the data mining techniques available and shows how they are practically employed in small companies. Second, an economical review of investments in data mining projects in Italy is presented.ConclusionsThe review indicates that data mining techniques can boost a company in the market. However, the awareness of data mining as a company asset is still not strong in Italian SMEs and most investments in Italy are still carried out by large companies. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Business Systems Research Journal de Gruyter

Data Mining Applications in SMEs: An Italian Perspective

Loading next page...
 
/lp/de-gruyter/data-mining-applications-in-smes-an-italian-perspective-lGKmvLIJtJ
Publisher
de Gruyter
Copyright
© 2020 Amir Topalović et al., published by Sciendo
ISSN
1847-9375
eISSN
1847-9375
DOI
10.2478/bsrj-2020-0031
Publisher site
See Article on Publisher Site

Abstract

AbstractBackgroundFrom the last decade, data mining techniques, employed in particular in customer relationship management, have assumed a key role in the profitability and operations of companies. To support small and medium companies (SMEs), several innovative and continuously improving tools have been developed that allow SMEs to utilize the internal and external data sources to increase their competitiveness.ObjectivesIn this paper, an analysis of the impact of digitalization, and in particular data mining techniques, in the context of SMEs development is presented.Methods/ApproachA review of various sources has been conducted, with the focus on open source tools, since in the context of the Italian economy they are used by SMEs the most.ResultsFirst, the analysis presents a brief review of the data mining techniques available and shows how they are practically employed in small companies. Second, an economical review of investments in data mining projects in Italy is presented.ConclusionsThe review indicates that data mining techniques can boost a company in the market. However, the awareness of data mining as a company asset is still not strong in Italian SMEs and most investments in Italy are still carried out by large companies.

Journal

Business Systems Research Journalde Gruyter

Published: Nov 1, 2020

Keywords: SMEs; data mining; customer relationship management; information technology; knowledge management; big data; Internet of things; O32

There are no references for this article.