Anurag Garg

Professor Anurag Garg is a distinguished contributor to the field of Business Intelligence and Analytics, currently serving as an Assistant Professor in the Analytics, Information, and Operations Management Academic Area at the School of Business at the University of Kansas. With a robust academic background, he holds a Ph.D. in Business Administration, specializing in Information Systems and Operations Management, from the Warrington College of Business at the University of Florida. His academic journey is further enriched by a Master's degree in Computer Engineering from North Carolina State University and a Bachelor's degree in Electronics and Communications Engineering from Panjab University in Chandigarh, India. Professor Garg's research interests are deeply rooted in Business Intelligence, Database Management, Data Analytics, and Business Analytics. His work is driven by a passion for uncovering insights that can transform business operations and decision-making processes. He is particularly interested in how data can be leveraged to enhance business strategies and improve organizational efficiency. In the classroom, Professor Garg is known for his engaging teaching style and his ability to make complex concepts accessible to students. His teaching repertoire includes courses on Business Analytics, Business Intelligence, Database Management Systems (DBMS), Data Analytics and Mining for Business Intelligence, and Computer Programming. He is committed to equipping his students with the skills and knowledge necessary to excel in the rapidly evolving field of data analytics. Beyond his academic and teaching endeavors, Professor Garg is actively involved in various research projects that explore the intersection of technology and business. His work often examines the practical applications of data analytics in real-world business scenarios, aiming to bridge the gap between theoretical research and practical implementation. Professor Garg's contributions to the field have been recognized through various awards and publications. He continues to collaborate with industry professionals and academic peers to advance the understanding and application of business intelligence and analytics. His dedication to research and education makes him a valuable asset to the University of Kansas and the broader academic community.