Short Bio-data:
Vijayan Sugumaran is Distinguished Professor of Management Information Systems and Chair of the Department of Decision and Information Sciences at Oakland University, Rochester, Michigan, USA. He is also the Co-Director of the Center for Data Science and Big Data Analytics at Oakland University. He received his Ph.D. in Information Technology from George Mason University, Fairfax, Virginia, USA. His research interests are in the areas of Big Data Management and Analytics, Ontologies and Semantic Web, Intelligent Agent and Multi-Agent Systems. He has published over 275 peer-reviewed articles in Journals, Conferences, and Books. He has edited twenty books and serves on the Editorial Board of eight journals. He has published in top-tier journals such as Information Systems Research, ACM Transactions on Database Systems, Communications of the ACM, IEEE Transactions on Big Data, IEEE Transactions on Engineering Management, IEEE Transactions on Education, IEEE Transactions on Cybernetics, IEEE Multimedia, and IEEE Software. Dr.Sugumaran is the editor-in-chief of the International Journal of Intelligent Information Technologies. He is the Chair of the Intelligent Agent and Multi-Agent Systems mini-track for Americas Conference on Information Systems (AMCIS 1999–2023). Dr.Sugumaran has served as the Program Chair for the 14th Workshop on E-Business (WeB2015), the International Conference on Applications of Natural Language to Information Systems (NLDB 2008, NLDB 2013, NLDB 2016, and NLDB 2019, NLDB 2023), 29th Australasian Conference on Information Systems (ACIS 2018), 14th Annual Conference of Midwest Association for Information Systems (MWAIS 2019), 5th IEEE International Conference on Big Data Service and Applications (BDS 2019), and 2022 Midwest Decision Sciences Institute Annual Conference (MWDSI 2022). He also regularly serves as a program committee member for numerous national and international conferences.
Title: Big Data Analytics& Applications
Abstract: With the need for processing vast amount of data, the role of data analytics in an organization has become increasingly important. It is critical to manage and process large amounts of data to generate useful information for decision making. “Big Data Analytics” is receiving a lot of attention these days and organizations are investing heavily in acquiring the necessary infrastructure and skilled workers (Data Scientists) to leverage the vast amount of operational and external data to gain competitive advantage. Business intelligence technologies such as data warehousing, online analytic processing, data mining, XML data processing, and data semantics have matured and become main stream in generating valuable control and decision-support business intelligence. This presentation will provide an overview of the basics of data/business analytics and the tools and techniques used to generate business intelligence within an organizational context.
