Volume I: Big Data Analytics
Volume I of Muma Insights by Information Systems Decision Sciences Professor Balaji Padmanabhan examines how businesses can use "big data" and analytics to make decisions and better understand their customers.
Since the dawn of the computer age, people have speculated about how humans would harness technology in the future. Ten years ago, "big data analytics" was one of these technological predictions: that companies would use data to learn more about their customers, to make better business decisions, and even to predict the future. For businesses, that future is already here - and has been for some time.
About the Author
Balaji Padmanabhan is the Anderson Professor of Global Management and the chair of the Information Systems Decision Sciences Department at the USF Muma College of Business. Padmanabhan's research addresses data analytics for business applications, algorithms for online news recommender systems, management of data analytics in firms, fraud detection in healthcare, analytics in examining service quality and customer churn, behavioral profiling, and pattern discovery. His work has been published in both computer science and information systems journals and conferences including Management Science, Information Systems Research, MIS Quarterly, and INFORMS Journal on Computing. He also works with several firms on technical, strategic and educational issues related to business and data analytics.