A market intelligence model for the health care business system
DOI:
https://doi.org/10.34117/bjdv10n6-025Keywords:
market intelligence, Fuzzy Logic, data analytics, decision making, healthcareAbstract
Health in Brazil is an old problem that has worsened with the Covid-19 pandemic and resources have become scarce. Studying market behavior and growth trends has become fundamental. This research aims to build a Market Intelligence Model, based on information obtained from official secondary data sources, using the Fuzzy logic methodology. The concepts of Data Analytics and Decision Making applied in the Health Area are addressed. The model was developed in RSdudio software, stored in SQL Database, and presented in Power BI and QGis. The model was validated in private health units in the southeast and northeast regions of Brazil for the treatment of chronic diseases, mainly in the areas of nephrology and oncology. The results were obtained, and it can be concluded that the proposed model has become very effective in estimating the growth of chronic diseases.
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