Organizations are measured in different ways. In specific terms, organizations that are managed through business processes use KPI's as measuring elements. However, it is uncommon for companies to use data yielded by information systems to improve or monitor the indicators suggested by the organization's reality. This paper presents a proposal to guide the improvement of processes on the basis of data mining, which can be performed with amounts of information that organizations consider relevant throughout time. To this end, the literature that supports the foundation and measurement of processes, as well as data mining applied to information management in processes is initially reviewed. Then, data mining is described in the context of information management that improves processes. Finally, the proposal is validated through a case study, which yields applicable results. From this paper, it can be inferred that data mining applied to amounts of data that support processes in certain periods of time can improve their management, as well as the efficient achievement of organizational goals.