Enrico Gallinucci is Junior Assistant Professor at the Computer Science and Engineering Department of the University of Bologna, where he teaches Big Data and Business Intelligence (BI). At BBS, he teaches BI 2.0, Data Warehousing, and Big Data. His research interests are directed towards the innovation of architectures, techniques, and methodologies to extract value from the data. The main research areas include data platforms, data fabric, Social BI, NoSQL databases, trajectory data, precision agriculture. He published research papers in many prestigious journals, including the VLDB Journal, Decision Support Systems, Future Generation Computer Systems, Information Systems, Data & Knowledge Engineering. He collaborated with international research groups at the Universitat Politècnica de Catalunya and the Université de Tours. He worked as a scientific partner in research projects and consulting activities for companies to study the widespread opinions over politics and vaccines, to carry out materiality analyses, to apply precision agriculture techniques over several food chains. At the international conference EDBT 2021, he received the best demo award for a conversational approach to OLAP analysis. Gallinucci received his Ph.D. in Computer Science and Engineering at the University of Bologna in 2017 and graduated cum laude in 2013 with a thesis on digitally fighting tax evasion.
Business intelligence (BI), motivations, objectives, definitions and solutions. Data warehousing as an enabling technology for BI: architectures, techniques and methodologies of On-Line Analytical Processing (OLAP) for data analysis. Multidimensional modeling with the Dimensional Fact Model (DFM). Self-service BI platforms. Relational OLAP. What-if analysis. Laboratory exercises on OLAP, DFM and self-service BI.Data Science and Business Analytics