Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Vicente, P. & Reis, E. (2026). What It Takes to Become a Data-Driven SME: Insights from Portugal. In Proceedings of the 8th International Conference on Advanced Research Methods and Analytics (CARMA 2026). Valencia: Editorial Universitat Polit`ecnica de Valencia.
Exportar Referência (IEEE) 
P. A. Duarte and E. D. Reis,  "What It Takes to Become a Data-Driven SME: Insights from Portugal", in Proc. of the 8th Int. Conf. on Advanced Research Methods and Analytics (CARMA 2026), Valencia, Editorial Universitat Polit`ecnica de Valencia, 2026
Exportar BibTeX 
@inproceedings{duarte2026_1784760331304,
	author = "Vicente, P. and Reis, E.",
	title = "What It Takes to Become a Data-Driven SME: Insights from Portugal",
	booktitle = "Proceedings of the 8th International Conference on Advanced Research Methods and Analytics (CARMA 2026)",
	year = "2026",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.4995/CARMA2026.2026.22445",
	publisher = "Editorial Universitat Polit`ecnica de Valencia",
	address = "Valencia",
	organization = ""
}
Exportar RIS 
TY  - CPAPER
TI  - What It Takes to Become a Data-Driven SME: Insights from Portugal
T2  - Proceedings of the 8th International Conference on Advanced Research Methods and Analytics (CARMA 2026)
AU  - Vicente, P.
AU  - Reis, E.
PY  - 2026
DO  - 10.4995/CARMA2026.2026.22445
CY  - Valencia
AB  - The adoption of data analytics brings vast benefits to SMEs but many face structural constraints that impede them to fully embrace data-driven decision making. This research uses interviews with business analytics managers, conducted through various forums, to capture data-driven maturity of Portuguese SMEs and the challenges faced by companies seeking to become more data and information-driven to create business value. The emerging idea is that the change requires a holistic approach that integrates cultural, strategic, and technological dimensions supported by continuous learning and external collaboration. Key changes that could accelerate transition include shift towards a data culture mindset in which data analytics supports business strategy and objectives, and investing in data literacy across organisational levels, so employees and
managers understand data potential and improve data analytics skills.
ER  -