Business Intelligence (BI) systems can be defined as tools to assist and extend decision making processes and make them more accurate and reliable, based on the knowledge generated by the company's data than intuitive values and personal experiences. Among the various software available, Pentaho is free software that provides good possibilities of exploring BI resources and with the possibility of personalization. This paper aims to present an application of Pentaho software demonstrating
Este trabalho apresenta um método para a priorização de novos projetos de tecnologia da informação (TI) utilizando um método de análise multicritério e uma modelagem do processo de negócio utilizando a Business Process Modeling Notation (BPMN). Foi utilizado como estudo de caso o setor de TI de uma instituição de ensino. De início foi modelado o processo de priorização de novos projetos do setor, em seguida, foi realizado o levantamento de critérios, atribuição de pesos e valores, divididos entre duas avaliações: gestão e TI. Através da execução do método PROMETHEE, é obtido um ranking utilizando como exemplo seis projetos do setor de TI. São, ainda, apresentados separadamente dois rankings com as avaliações da gestão e da TI a fim de comparação. A análise dos resultados permite concluir que é viável a utilização de um processo bem definido na gestão de portfólio de projetos.
Purpose An area of information technology (IT) in organizations is required to manage resources efficiently. For this, IT certifications are adopted by companies and sought by professionals. However, these have many requirements and to identify which are paramount to the performance of their activities and/or are much more important to IT managers is not a trivial task. The purpose of this study is to identify how the processes of the Information Technology Infrastructure Library (ITIL) v3 and Control Objectives for Information and Related Technology (CobiT) 5 certifications are analyzed by IT managers. Regarding the knowledge of professionals about the processes, which are more important, less important or indifferent in the manager’s view. Design/methodology/approach A survey is carried out with IT managers using questions elaborated according to the Kano model in which the processes of the analyzed certifications are related to classify according to the proposed model. Findings Of the 64 analyzed processes, 20 CobiT processes and 13 ITIL processes were classified as must-be requirements. Another 17 CobiT processes and 9 ITIL processes were classified as one-dimensional and 5 ITIL processes are present in more than one relationship with CobiT processes and, depending on the relationship, they were classified as must-be or one-dimensional requirements. Originality/value It is concluded that this study contributes in the discussion of the importance of the ITIL and CobiT implementations and analyzes the relevance of ITIL and CobiT certification processes in the view of IT managers, providing useful information for the professionals in terms of prioritization of the processes expected by the managers.
RESUMODada a problemática da evasão e a quantidade de dados armazenados pelas instituições de ensino, através da utilização da mineração de dados torna-se possível extrair características que descrevem os alunos. O objetivo do presente trabalho é aplicar a mineração de dados para identificação de comportamento dos alunos evadidos em cursos de nível técnico. Para o cumprimento do objetivo é realizado um estudo de caso no Instituto Federal Fluminense. São executadas as etapas de obtenção, tratamento, higienização e mineração dos dados. Na última etapa é utilizado o método de classificação J48. A partir das árvores geradas pelo método foi possível identificar que em sua maioria, os alunos evadidos são descritos pelo desempenho ou frequência nas disciplinas dos primeiros módulos do curso. Os resultados são considerados satisfatórios por terem permitido realizar análises que de fato descrevem comportamentos de alunos que evadiram na amostra analisada.Palavras-chave: Mineração de dados; Evasão; Ensino Técnico. ABSTRACTGiven the problem of evasion and the amount of data stored by educational institutions, through the use of data mining in the databases of these institutions it is possible to extract characteristics that describe the students. The objective of the present work is to apply the data mining to identify the behavior of the students evaded in courses of technical level. To accomplish the objective, a case study is carried out at the Federal Fluminense Institute. The steps of obtaining, treating, sanitizing and mining the data are performed. In the last step the classification method J48 is used. From the trees generated by the method it was possible to identify that the majority of the students of the evaded profiles are described by the performance or frequency in the subjects of the
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