Federico
Ravaldi


Ravaldi
Italy Founder & Owner ICONSULTING Adjunct Faculty
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BIO

After a degree in Computer Science Engineering at the University of Bologna and an experience at an Inter-university Research Consortium, Federico co-founded ICONSULTING spa, a company specialized in Big Data Analytics and Data Science based in Bologna (HQ) and with local offices in Milan, Rome and London. He acted as CEO for 20 years and now continues to be its owner and board member. He has teaching experience in Big Data Analytics and Performance Management courses held at the University of Bologna and at the University of Modena and Reggio Emilia. He is the director of the Open Program of Data Strategy and Analytics and of the Big Data module in the International Master in Data Science and Business Analytics, both held at BBS.

COURSES

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 and Business Analytics
Digital Technology and Innovation Management
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.