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.
Matteo Golfarelli and Enrico Gallinucci are Guest Editors of MDPI Electronics's Special Issue on Big Data and Artificial Intelligence for Industry 4.0; the call-for-paper closes on January 31, 2022March 23, 2021
Matteo Golfarelli is Chair at DAWAK 2021March 22, 2021
Happy to announce the Best Demo Award@EDBT 2021 with the paper 'Conversational OLAP in Action'March 22, 2021
Happy to announce Joseph's Best Paper Award@DOLAP 2021 with the paper 'Effective data pre-processing for AutoML'February 5, 2021
New paper on Information Systems: Data variety, come as you are in multi-model data warehousesFebruary 3, 2021
A warm welcome to our new PhD students, Chiara and Joseph! #weareBIGgerSeptember 15, 2020
Our paper DART: De-Anonymization of Personal Gazetteers through Social Trajectories has been accepted for publication @ Special Issue on Privacy and Security for Location-based Services and DevicesAugust 28, 2020
Here are the slides from 'The Tell-Tale Cube' presented @ ADBIS2020