Prof. Ernesto Damiani
University of Milan, ItalyProcess Analysis Meets Big Data
Abstract:
The Internet is full of hype about how the availability of huge amounts of data has created business opportunities, with the result that a large number of IT suppliers have introduced solutions that claim to extract value from data on people behavior. In reality, many organizations are already struggling to analyze the data they have about the behavior of their customers and employees, even without the added complexities of handling social media phenomena. The talk will first introduce the basic techniques for privacy-aware capture and man analysis of large amounts of behavioral data in a way which allows intelligent decision-making. Then, it will present Business Process Management (BPM) based on Big Data, discussing how Big Data analysis can be used to refine business processes. Specifically, the talk will focus on validity of the notion that BPM based on large data volumes can make businesses more agile and responsive to customer needs (e.g. by using the right data at the right point in a process). The equation "Process Analysis + Big Data = Better process" will be examined form the point of view of data science, trying to identify the "right amount of information needed to optimize end-to-end business processes such as order-to-cash.
Biography:
Ernesto Damiani is a full professor at the Department of Computer Science, Università degli Studi di Milano, Italy, where he leads the SESAR research lab and the Head of the Università degli Studi di Milano's Ph.D. program in Computer Science. He has held visiting positions at a number of international institutions, including George Mason University in Virginia, USA, Tokyo Denki University, Japan, LaTrobe University in Melbourne, Australia, University of Technology in Sydney, Australia, and the Institut National des Sciences Appliquées (INSA) at Lyon, France. Prof. Damiani serves in the editorial board of several journals; among others, he is EIC of the International Journal on Big Data, Associate Editor of the IEEE Transactions on Service-oriented Computing and of the IEEE Transactions on Fuzzy Systems. He is the Vice-Chair of the IEEE Technical Committee on Industrial Informatics, the Chair of IFIP WG 2.6 on Database Semantics. He is a senior member of the IEEE. In 2008 he was nominated ACM distinguished scientist and he received the Chester-Sall Award form IEEE Industrial Electronics Society He has co-authored the book "Open Source Systems Security Certification" (Springer 2009).
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