PROJECT PRIORITIZATION MATRIX: A BUSINESS INTELLIGENCE AND MULTICRITERIA EVALUATION APPROACH AT SEBRAE/RN
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Abstract
In a data-driven decision-making context, organizations that manage project portfolios face the challenge of prioritizing initiatives in a transparent, objective, and reproducible manner. This article presents the design, implementation, and evaluation of a project prioritization matrix supported by Business Intelligence (BI) and multicriteria assessment, applied to SEBRAE/RN. A Design Science Research approach is adopted, using a mixed-methods strategy that combines analysis of historical data from 15 sectoral projects (2022–2024) with qualitative insights from 52 managers, obtained through interviews, workshops, and document analysis. Based on seven key performance indicators, a weighted matrix is constructed in which revenue growth and strategic alignment receive the highest weights, complemented by metrics of outreach, efficiency, and sustainability. The entire assessment process is automated in an interactive BI dashboard, enabling near real-time, standardized analysis aligned with institutional guidelines. The results indicate gains in operational efficiency, increased analytical maturity in portfolio management, and a stronger alignment between the project portfolio and the organization’s strategic priorities. The study delivers a replicable artifact that integrates MCDA and BI in an organizational context and provides guidelines for adapting the framework in other development and funding institutions.
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