| dc.description.abstract | The objective of this study is to analyze the relation between operational risk and technological processes. 34 processes were analyzed belonging to the governance model COBIT version 4.1, with the aid of a computational resource associated with machine learning for knowledge extraction, known as Data Mining. The method used to conduct this study is defined as Design Research. It was collected 341 replies about the IT governance processes of 140 companies, located, mainly in the state of Rio Grande do Sul. For the application of Data Mining was used a software open source called Waikato Environment for Knowledge Analysis (Weka), using algorithms to generate clusters, attribute selection, classification and association. The obtained data show that the process with the highest level of maturity in the surveyed 140 companies is the ES5 - it ensures the security of the systems, while the lowest level is the PO7 - which Manage Human resources in IT. The results also show that between 34 processes, those which have greater relations with P09 - evaluating and managing risks, are the governance processes PO7 - Managing Human Resources in IT, PO10 - managing the projects, Al1 - Identifies automation solutions, Al2 - acquire and maintain application software, PO8 - Management the quality. | en |
