Monitoramento de política ambiental, social e de governança com inteligência de negócios: proposta para a Secretaria de Ciência, Tecnologia e Inovação de Pernambuco

Abstract

This dissertation aims to develop an institutional policy proposal based on the principles of Environmental, Social and Governance (ESG) for the Secretariat of Science, Technology and Innovation of the State of Pernambuco (SECTI-PE), integrating the use of Business Intelligence (BI) tools as instruments to support decision-making, strategic monitoring, and public transparency. The research recognizes that incorporating ESG practices in the public sector is both a contemporary challenge and a necessity for strengthening democratic governance, institutional sustainability, and the long-term creation of public value. The study adopts a qualitative, descriptive, and applied approach, emphasizing the analysis of secondary data from bibliographic, normative, and documentary sources, including legislation, institutional reports, and scientific publications from national and international contexts. The methodology involved bibliographic and bibliometric reviews, identification and classification of SECTI’s public policies under ESG criteria, and the application of the Constructivist Multi-Criteria Decision Aid (MCDA-C) method, which allowed the structuring of indicators and guidelines focused on integrated and sustainable management. The proposed model is supported by the normative framework of ABNT PR 2030-1:2023, the United Nations 2030 Agenda for Sustainable Development Goals (SDGs), and the Brazilian Public Sector Auditing Standards (NBASP), also incorporating principles of governance, accountability, and administrative efficiency. The results indicate that the integration of ESG and Business Intelligence significantly contributes to the modernization of public management by enabling real-time data collection, transformation, and analysis, strengthening data culture and evidence-based decision-making. The developed model structures an ESG Policy adapted to SECTI’s institutional reality, containing normative guidelines, strategic axes, and evaluation parameters that allow continuous monitoring of environmental, social, and governance performance. The practical application was demonstrated through an interactive Power BI dashboard capable of consolidating information from different areas of the Secretariat and presenting dynamic performance indicators, promoting active transparency and efficient communication with internal and external stakeholders. The research demonstrates that using BI combined with ESG methodology enhances internal control capacity, reduces informational redundancies, strengthens institutional integrity, and promotes sustainable management based on open data. It is concluded that the development and implementation of an ESG policy supported by Business Intelligence represent a significant innovation in public management, enabling greater alignment with the goals of the 2030 Agenda, administrative efficiency, and institutional sustainability. The proposed model contributes to the improvement of state public governance, offering a replicable framework for other secretariats and public agencies, consolidating a new paradigm of data-driven, ethical, and socially responsible governance