Dashboard design applied to the ITIL®V3 problem management process: A case study at ISCTE-IUL

• Autor(a) principal: Martinho, Tiago Miguel Henriques
• Data de Publicação: 2013
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10071/8441
• topic: ITIL®V3; Problem management; Information technology services; Mmnagement; Dashboards; ISCTE-IUL; Gestão de problemas; Gestão de serviços de TI

ISCTE-IUL is a Portuguese higher education institute that is oriented to the ITIL®V3 adoption for the Information Technology (IT) Services, in order to improve the management practices in accordance with best practices recommended and to achieve the ISO/IEC 20000 certification. Dissertations have been related with the ITIL processes implementation, having already implemented the Asset Management, Incident Management, Request Fulfillment and the Change Management processes. The scope of this dissertation is the implementation of the Problem Management process that will fills the gap in the problem root-cause investigation. The Problem Management process defines the activities required to control the flow of problems and ensure the correct recording, evaluation, investigation and solution implementation. This dissertation describes the evaluation of the current problem management process at ISCTE-IUL and the transition to a new process developed according to the best practices and modeled with the Business Process Modeling Notation (BPMN). As recommended by ITIL, the processes must be monitored and measured using appropriate metrics. In line with this, was defined the second phase of the dissertation, the process measurement. In this phase are designed and built Service Operation Dashboards covering the Incident Management, Request Fulfillment and Problem Management processes. This measurement is performed through Microsoft Excel, analyzing the data extracted from the EasyVista, an ITSM platform. The goal is to analyze the data and provide reliable information to enable the decision-making based on facts, identifying trends and the levels of effectiveness and efficiency.