Management Support Systems Model for Incident Resolution in FinTech based on Business Intelligence.


Abstract:

Financial technology corporations (FinTech) specialize in the electronic processing of business transactions and compensation of charges and payments. Such operations have a technological platform that connects multiple financial institutions with companies of the public and private sector. In its constant concern for the provision of efficient services, the company created a unit to guarantee the quality and availability of 24x7x365 of its services by granting their clients confidence regarding online-financial environments through high-security timely security standards management of incidents. However, poor management of incident resolution was detected as there are is a lack of tools to monitor transactional behavior or identify anomalies. Consequently, resolution time has been delayed and, therefore, continuity and regular operation of services. In this sense, economic losses are frequent, yet the real loss results in its confidence and reputation. In response to this problematic issue, the current study proposes developing a support model of information management for the appropriate and timely resolution of incidents by analyzing historical information, which allows to detect of anomalies in transactional behavior and improve resolution time of events affecting financial services. The used methodology is ad-hoc and consists of various phases, such as identifying the present situation. Afterward, it builds the solution based on Ralph Kimball and Scrum methodologies and validates its result. With the implementation of the work, the business intelligence model improves incident management by providing indicators for the timely detection of …

Año de publicación:

2021

Keywords:

    Fuente:

    googlegoogle

    Tipo de documento:

    Other

    Estado:

    Acceso abierto

    Áreas de conocimiento:

    • Tecnologías de la información y la comunicación
    • Análisis de datos
    • Ciencias de la computación

    Áreas temáticas:

    • Dirección general
    • Programación informática, programas, datos, seguridad
    • Economía financiera