The Business Process Management (BPM) is an innovative process management specialty which is based on breakthroughs in the analysis of information and backed by technology. It has become the key piece of modern corporate technological architecture for facilitating and supporting digital transformation. Corporations of all sizes (banks, insurance companies, telephone/mobility operators, industrial companies, etc.) are now using it in order to be able to compete successfully with the new digital native companies.
These organizations need professionals who are experts in process management capable of optimizing processes, responding to the constant demands of the market and regulations, and taking advantage of digitization as a tool for continuous improvement.
During the lifelong learning course in Business Process Management (BPM), the keys on how to configure and propose the process architecture to organizations are addressed, with real application examples and technologies from companies such as Appian, IBM and Celonis.
Throughout the training, it is addressed, in a practical way, how to use analytical tools, beyond traditional business intelligence (BI) tools, with innovative technologies such as artificial intelligence, the internet of things or process mining. Dashboards and predictions will also be designed to obtain valuable information, to properly focus projects in terms of planning, estimation of efforts and costs.
Course participants will specialize in BPM management, to contribute to the excellence of the operating model of organizations.
Professionals interested in improving the efficiency of their organizations through BPM, College graduates interested in business improvement through proper management of business processes, Professionals and graduates wishing to supplement their knowledge with a range of skills inherent in Management of/for processes (analysis, synthesis, communication, government, BPM project management) and Professionals and graduates interested in the application of the latest technological innovations (Artificial Intelligence, Process Mining, Advanced Analytics, Internet of Things) to the operational improvement of companies.