Business Intelligence Group (BIG) deals with technologies, tools, models and techniques related to Business Intelligence. This group researches in areas like: Business Intelligence Systems, Adaptive Business Intelligence, Intelligent Decision Support Systems, Data Mining, Knowledge Discovery from Databases, Intelligent Data Analysis, Data Warehouses, Data Systems and Information Visualization.

The research is intended to be applied and mainly oriented to the organizational well-being, addressing real-time, online, distributed and complex problems, taking in account emergent issues as is the Web, e-Business, multi-agent systems, grid and cloud computing, and considering various types of data.

Special attention is given to the acquisition, archive, processing and diffusion of competitive/complex information, knowledge  discovery, representation in order to support management, decision and planning tasks.

Some global I&D purposes/research lines can be identified:

• Automate the Knowledge Discovery from Database process in order to minimize the need of problem domain knowledge;
• Create Data Mining open source components to be used by the research community in advanced applications;
• Investigate new methods for data mining in distributed environments/problems;
• Design of Intelligent Decision Support Systems recurring to Multi-agent Systems and KDD approaches;
• Augment the existing Data Mining techniques in order to cover new types of problems;
• Novel BI approaches to solve new types of problems.