Collaboration business intelligence prototype for the synergy of empowering MSMEs in the government agencies
Purpose – This research develops a business intelligence prototype based on the analysis of profile data, problems, and needs of MSMEs. Design/methodology/approach – This research uses the descriptive analysis method by collecting data through interviews and documentation. Findings – Based on a sam...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Islam Indonesia
2025-01-01
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| Series: | Jurnal Siasat Bisnis |
| Subjects: | |
| Online Access: | https://journal.uii.ac.id/JSB/article/view/32474 |
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| Summary: | Purpose – This research develops a business intelligence prototype based on the analysis of profile data, problems, and needs of MSMEs.
Design/methodology/approach – This research uses the descriptive analysis method by collecting data through interviews and documentation.
Findings – Based on a sample of 5 respondent technical units in the Ministry of Finance, this research develops a prototype to empowering MSMEs in business sectors, problems, and needs of MSMEs that are fostered by several technical units in a government agency can be integrated and presented in business intelligence. This analytical tool can be used jointly by technical units to make decisions in preparing MSME empowerment programs.
Research limitations/implications – The business intelligence model has just been developed based on data and discussions from 3-5 technical units in the Ministry of Finance and does not yet reflect the data and information needs of the Ministry of Finance as a whole.
Practical implications – Government institutions that have not yet implemented business intelligence that supports MSME empowerment activities can develop this prototype into a fully functional system and can be used for synergistic empowerment of MSMEs.
Originality/value – This research is intended to complement the limited discussion regarding the application of business intelligence in government institutions.
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| ISSN: | 0853-7666 2528-7001 |