Self-service business intelligence data analytics

• Autor(a) principal: Damásio, Pedro Daniel Gonçalves
• Data de Publicação: 2019
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10071/22223
• topic: Power BI; Self service business intelligence; Incident management; Data analysis; Gestão de incidentes; Análise de dados

Information systems bring competitive advantages to companies when they know how to use them to their full potential. Business intelligence systems can garner large volumes of data and convert it into information but have the disadvantage of having associated high implementation costs both structurally and qualified people. Then comes Self Service Business Intelligence which provides companies with much lower costs of extracting information from their systems. This work arises from Tecmic’s need to extract information in the form of reports and dashboards from the incident system it has currently implemented. This system has limited information extraction and handling capabilities to help company managers make informed decisions about customer reported incidents. In order to address this problem, it was proposed to implement the Self-Service Business Intelligence software from Microsoft, Power BI. This work details all the preparatory steps to import the data into Power BI as well as an analysis of the results obtained. Additionally, through reports created in Power BI, it is explored what inefficiencies can be tackled in order to improve company performance and drive down the number of services created.