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With the development of technologies, the big volume of databases and the need to obtain useful knowledge of them, data mining becomes a strategic tool for companies, which support the decision making. A cuban company, created in 1991, whose name is not mentioned for reasons of confidentiality, which is distinguished as a provider of comprehensive solutions, offers products and engineering services in a wide range of areas with a highly trained staff. It has large volumes of data resulting from the management of each of its organizational units, but no analysis are done to identify hidden patterns and behaviors in data. This paper present a process of Knowledge Discovery in Databases in the aforementioned company as an aid to decision making. In this regard, aspects related to data mining and its application in the environment of economicfinancial indicators and management were detailed, association and clustering models that will support the work of managers at different levels of the organization were obtained. [ABSTRACT FROM AUTHOR]

Science, technology and innovation are fundamental to economic and social development of the country, requiring, each time more, to give significant resources in order to prepare the personnel and make them more competitive, where the information exchange, knowledge and learning generated by this process, will contribute to achieve a better performance in the organization. The purpose of this paper is the development of a organizational learning model and its phases, based on information and knowledge of scientific and innovation project team members, which will allow to evaluate the capacity of organizational learning and also contribute to a better organization performance. In this model is highlighted the integration of the main trends in the study of organizational learning, providing technical tools to develop learning ability and performance evaluation of the organization from indicators. [ABSTRACT FROM AUTHOR]