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Autores
Orientador(es)
Resumo(s)
Non-profit associations (NPA) have concurrently faced the bottleneck of having an overload
of manual tasks, potentially hindering their efficiency and motivation to work. Different
methodologies are pursued to achieve the most efficient solution to each institution. The soft
system methodology is being paved a way for innovate methods to streamline NPA´s
volunteers processes. This project investigates the effectiveness of implementing this
methodology in a resource-constrained non-profit association in order to develop a business
intelligence (BI) solution by following itsseven different stages within a non-formal association
led by nine volunteer leaders. After identifying the problems, a centralized data structure was
created as a solution by developing a website to enable more automated and detailed tracking
of membership and financial management through a BI model. Despite the association's nonprofit focus, unlike private organizations, the implementation resulted in increased process
efficiency. The SSM proved effective due to its iterative and cyclical stages, leading to a final
solution that aligns well with real-world outcomes while considering the environmental
constraints of limited knowledge and investment. The use case presented can be seen as a
viable solution for associations or even small businesses that don´t have the amount need to
invest in an implementation and maintenance of a data warehouse. In future research it would
be viable to arrange a way of measure the real impact of efficacy and efficiency of the adoption
of the soft system methodology.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
Palavras-chave
Soft System Methodology Non-profit association Business Intelligence SDG 4 - Quality education SDG 5 - Gender equality SDG 8 - Decent work and economic growth
