Publicação
Adaptive Model applied in the Banking Sector: Aligning Knowledge Management and Business Intelligence
| Resumo: | The project proposes enhancing traditional banks' performance and efficiency to compete with FinTech companies by implementing an adaptive model. This model tailors information access based on user needs, focusing on user technical skills, business context, and changing requirements based on users feedback. The report also describes the different users: data engineers, business analysts, businessmen and viewers. By aligning knowledge management and business intelligence, the model aims to improve information sharing, accessibility, and overall knowledge management culture in the banking sector. It emphasizes tailoring data to meet user-specific needs, ensuring information is accessible, relevant, and actionable for various stakeholders. The methodology involves designing and applying an adaptive model within a banking company, focusing on the product area perspective. Data and information are transmitted through visualization in PowerBI and Excel, giving users autonomy and independence in analysis. The project highlights that an adaptive model not only increases user autonomy but also fosters improved collaboration, emphasizing that crossing knowledge is key. |
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| Autores principais: | Filipe, Verónica Oliveira |
| Assunto: | Adaptive Model Banking Sector Knowledge Management Collaborative Information Behavior Business Intelligence Centralized Source Dashboard Information Accessibility SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| Resumo: | The project proposes enhancing traditional banks' performance and efficiency to compete with FinTech companies by implementing an adaptive model. This model tailors information access based on user needs, focusing on user technical skills, business context, and changing requirements based on users feedback. The report also describes the different users: data engineers, business analysts, businessmen and viewers. By aligning knowledge management and business intelligence, the model aims to improve information sharing, accessibility, and overall knowledge management culture in the banking sector. It emphasizes tailoring data to meet user-specific needs, ensuring information is accessible, relevant, and actionable for various stakeholders. The methodology involves designing and applying an adaptive model within a banking company, focusing on the product area perspective. Data and information are transmitted through visualization in PowerBI and Excel, giving users autonomy and independence in analysis. The project highlights that an adaptive model not only increases user autonomy but also fosters improved collaboration, emphasizing that crossing knowledge is key. |
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