Ravaldi Federico | BBS - Bologna Business School


Italy Founder Partner & CEO ICONSULTING Adjunct
Email contact Download CV


Federico Ravaldi has a degree in Computer Engineering and after a research experience at CINECA, he founded and acted as CEO of ICONSULTING Spa (firm specialized in Big Data Analytics) for a period of 15 years. He launched the “Better decisions Forum” event in 2013. His product INDYCO was honored with the eminent award “Gartner Cool Vendor 2015”.

He is currently Performance Management lecturer at the University of Modena and Reggio Emilia. At BBS he teaches and is Co-Director of the Business Intelligence & Performance Management Open Program. He is furthermore Director of the Big Data module for the Master in Data Science and for Big Data Analytics of the Open Programs.


The digital revolution has led to an explosion in the amount of available data and information (Big Data), the ability to analyze and correlate this information is becoming a fundamental element to an enterprise’s competitiveness and a new source of economic value and innovation. Big Data, however, is unable to be managed properly by using traditional instruments of Information Technologies because of their size, their heterogeneity and their many peculiarities. For this reason, new architectures, methodologies and tools are being created for data scientists to transform this data into value for the company and to support the decision-making process. This course will analyze the various types of data available, technical access to information, methods to handle them and the architectures and tools to store and process them.

Data Science
Digital Technology Management / Cyber Security
Digital Technology Management / Artificial Intelligence
Digital Technology Management / Internet of Things
Finance and Fintech

WORKSHOP – The digital revolution made available an enormous quantity of data and information (Big Data). The ability to analyse such information is becoming a fundamental element and a source of new economic and innovation value. Nonetheless, Big Data aren’t easy to manage and interpret using the traditional Information Technologies tools because of their sheer size, heterogeneous nature and innumerable peculiarities.