Business Process Management (BPM) is one of the major areas in the enterprise information systems field, which has been mainly supported by the development of Decision Support Systems (DSS), and Business Intelligence (BI) (Turban et al., 2011). BPM aims to improve the organization performance by applying a set of processes, methodologies, and strategies in two main industrial areas: planning and operations. According to the BPM’s philosophy, the SP must be one of the first steps toward the optimal performance of the organizations. This process assists companies in converting strategies and objectives into plans, by monitoring continuously its performance. Basically, the SP is a discipline where a team of organization leaders shapes a future and plans some actions in order to reach it by using the following methods: • The SWOT matrix (strategies, weakness, opportunities and threads) which performs a global diagnostic taking into account environmental factors: a) strengths/weakness are focus in internal and, b) opportunities/threads toward external. • The Balanced Scorecard (BSC) is a performance indicator scheme extensively used in industry and business to monitor the organizational performance against the planning goals. During the process of the SP, two other general domain methods are used in order to capitalize the explicit knowledge; both are manually applied: • The brainstorming technique, which is useful for managing the ideas generated by a group of agents. It is generally applied to produce the elements of the SWOT matrix. • The affinity diagram, which is useful to classify information into categories, according to the nature of the elements or some other criteria. This method has proved to be quite functional to classify the elements of the SWOT matrix in topics related to the strategic areas of an organization. Subsequently, the strategic plans can be formulated based on the resulting information. At this point, it is important to underline the complexity of the SP process, which is highly influenced by the nature of the information produced by the planning team. Thus, SP must deal with a high volume of unstructured text-form information. Additionally, an estimated 80% of total corporate information is represented in textual data formats (Ur-Rahman and Harding, 2012). Nevertheless, there is a lack of approaches to automatically process the SP information. Furthermore, while new powerful and sophisticated tools for Text Processing and Natural Language Processing have been recently developed, many of the SP processes still manually applied (Gupta and Lehal, 2009). Thus, we intend to contribute to the field of the SP with a new SP generic model, particularly suited for SMEs, and the incorporation of a TM framework that allows to process the information necessary to produce strategic plans. The implementation of TM methods may be applied in order to automatize and reduce the information processing time during the generation of strategic plans. The application of TM in a SP generic model presented in this paper is an attempt to deal with this problem, which has been poorly addressed in the SP domain. An application is developed under the cloud-computing paradigm and integrated into a generic model for the SP. The objective of the system is to support organizational leaders when creating strategic plans. The rest of the article is structured as follows. Section 2 addresses the theoretical backgrounds of a generic model for the SP, the TM process, and the related work. Section 3 highlights the general characteristics of the proposed system. In section 4, an implementation of the approach in a real industry case is described and it is discussed in section 5. Finally, the general conclusions are mentioned in section 6.