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Nascimento, T., Santos, N., Vicente, P. & Martins, S. (2026). Data Analytics and Strategic Planning in a Bioproducts Micro- Enterprise. In Proceedings of the 8th International Conference on Advanced Research Methods and Analytics (CARMA 2026). Valencia: Editorial Universitat Politécnica de Valência.

T. D. Nascimento et al.,  "Data Analytics and Strategic Planning in a Bioproducts Micro- Enterprise", in Proc. of the 8th Int. Conf. on Advanced Research Methods and Analytics (CARMA 2026), Valencia, Editorial Universitat Politécnica de Valência, 2026

@inproceedings{nascimento2026_1784760330354,
	author = "Nascimento, T. and Santos, N. and Vicente, P. and Martins, S.",
	title = "Data Analytics and Strategic Planning in a Bioproducts Micro- Enterprise",
	booktitle = "Proceedings of the 8th International Conference on Advanced Research Methods and Analytics (CARMA 2026)",
	year = "2026",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.4995/CARMA2026.2026.22446",
	publisher = "Editorial Universitat Politécnica de Valência",
	address = "Valencia",
	organization = ""
}

TY  - CPAPER
TI  - Data Analytics and Strategic Planning in a Bioproducts Micro- Enterprise
T2  - Proceedings of the 8th International Conference on Advanced Research Methods and Analytics (CARMA 2026)
AU  - Nascimento, T.
AU  - Santos, N.
AU  - Vicente, P.
AU  - Martins, S.
PY  - 2026
DO  - 10.4995/CARMA2026.2026.22446
CY  - Valencia
AB  - This case study illustrates the use of data analytics in a Portuguese bioproducts microenterprise.
Pareto distribution and K-Means clustering were utilized to analyse consumer behaviour, product performance and sales dynamics. The findings show a strong concentration of revenue on just 10 products, accounting for almost half of the
total revenue, and a low retention rate, with 88.3% of consumers being one-time
purchasers. Additionally, geographic data indicates that Lisbon, Sintra, and Cascais
together constitute a key sales hub, accounting for 21% of total revenue, while the
remaining revenue is broadly distributed across the rest of the country. The  findings demonstrate that analytical frameworks are an effective managerial tool, despite of limitations with sample size and data richness. Ultimately, the descriptive and unsupervised analytical approach successfully suggested several insights that are impactful for NM.
ER  -