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Chakir, Loqman
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Electrical & Electronics Engineering

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Toward a business intelligence framework for e-government interoperability: data integration and decision support Barakat, Oumkaltoum; Elbeqqali, Omar; Chakir, Loqman
Bulletin of Electrical Engineering and Informatics Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i2.7918

Abstract

In e-government systems, achieving smooth data interoperability is still a major challenge, especially in judicial systems where fragmented data management affects decision-making and service quality. In order to facilitate real-time data integration and interoperability, this paper suggests a novel service-oriented business intelligence (SOBI) framework coupled with a common central data warehouse (CCDW). Our approach, which uses the Moroccan legal system as a use case, makes use of materialized views and extract, transform, and load (ETL) procedures to guarantee scalable, secure, and efficient exchange of information between disparate systems. The framework provides a scalable model for e-governance while improving decision support, transparency, and service delivery. Findings highlight enhanced system performance and data sharing, with implications for broader e-government applications. The proposed approach provides a foundation for future extensions toward internet of thing-based urban planning and real-time data integration for smart and sustainable urban ecosystems.
Co-Authors Barakat, Oumkaltoum Elbeqqali, Omar