Welcome to the Business Intelligence Group
The Business Intelligence Group studies the architectures, techniques, and methodologies aimed at extracting value from data in the most diverse business contexts.
The innovation brought by data ranges from the digital transformation of business operational processes to the adoption of artificial intelligence techniques for the extraction of knowledge and the automation of the most advanced processes, passing through the study of optimized algorithms for data extraction and analysis.
We carry out both theoretical research and practical studies, with the awareness that without the former there is no real innovation and that without the latter there is no real technology transfer. We are driven by curiosity and often deviate from our core research area to work on problems that emerge from the projects and business contexts we face.
News
May 14, 2026Enrico Gallinucci has been elected Vice Chair of the Steering Committee of DOLAP, the premier workshop of the international scientific community in the field of data management for analytics and AI processing.
March 01, 2026Matteo Francia is now Researcher in Tenure Track at the Department of Computer Science and Engineering.
September 01, 2025Enrico Gallinucci is Chair of the 2nd Doctoral Consortium School of ADBIS 2026, to be held on September 2026 in Orléans, France.
March 25, 2025Happy to announce that Enrico Gallinucci and Matteo Golfarelli received the Best Paper Award@DOLAP 2025 with the paper 'Impact Study of NoSQL Refactoring in SkyServer Database'
Oct 31, 2024Our patented Method and System for Monitoring Soil Moisture has been one of the selected finalists of the Intellectual Property Award 2024.
September 01, 2024Enrico Gallinucci is Chair of the 1st Doctoral Consortium School of ADBIS 2025, to be held on September 2025 in Tampere, Finland.
May 01, 2024A warm welcome to Alex Baiardi, who joined the BIG team as a research fellow!
February 08, 2024Enrico Gallinucci is now Researcher in Tenure Track at the Department of Computer Science and Engineering.
October 18, 2023We have patented a Method and System for Monitoring Soil Moisture (METODO E SISTEMA PER IL MONITORAGGIO DELL’UMIDITÀ DEL SUOLO).