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Orientador(es)
Resumo(s)
Businesses face numerous operational risks, which can be mitigated through a well-crafted
action plan that measures and manages these risks. Key Risk Indicators analysis, a vital tool
for devising both reactive and preventive strategies, is widely used across industries due to
varying risk tolerances and response capabilities. In today’s business world, the combination
of this analysis with effective information sharing and the generation of clear, and concise,
reports and dashboards, is essential. Significant research has been conducted in the field of
business intelligence and some within the banking sector. However, a notable gap remains,
particularly in the study of conduct supervision topics. This gap in the literature underscores
the novelty and importance of the current study. The focus is on addressing the question of:
How can Key risk indicators analysis be presented to assist top management as an assess and
trigger tool? By addressing this question, the study intends to contribute to the existing body
of knowledge and provide new insights to this underexplored area. The following study,
derived from insights gained during an internship at the Market Conduct Supervision
department of the Bank of Portugal, explores techniques and best practices for presenting a
Key Risk Indicators (KRI) analysis, with a focus on creating a decision-making approach, using
a storytelling methodology. To achieve the study’s objectives, an exploratory and empirical
methodology, following the four phases of the Design Science Research Methodology, namely
conceptualization, construction, production, and evaluation, was adopted. This project, aimed
at constructing a comprehensive analysis and methodology for implementing KRIs via a
custom real-time analytical tool that monitors and evaluates the risk conduct of Portuguese
banking institutions, was developed to addresses specific market conduct supervision needs
by retrieving and analysing data across all supervised areas, providing actionable insights to
stakeholders, and aiding in decision-making processes.
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
Storytelling Dashboarding Business Intelligence Key Risk Indicators Market Conduct Supervision SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure SDG 10 - Reduced inequalities SDG 16 - Peace, justice and strong institutions SDG 17 - Partnerships for the goals
