Data-Driven Decisions in Digital Markets
The Internet and related information technologies have revolutionized the ways of doing business. In this age of “everything digital” – Apps, Facebook, Twitter, Pinterest, Yelp, etc. – every business is trying to stay ahead by developing a better understanding of the driving forces and the related changes in business models. In doing so, businesses are keen to analyze, for example, the sheer amount of data (“traces”) collected from different touch points – Google Glass, Apple Watch, smart phones, or simple computing devices – and make critical business decisions. Our goal in this class is to discuss the changes in business models that have been enabled by Internet technologies, and to get exposed to hands-on data analyses to quantify the impact these technologies and business models have on firms, economies, and people.
Web Data Analytics
This industry-agnostic course is focused on training leaders to be able to talk to and manage the people who are collecting data and are making inferences from the data, and then make data-driven decisions. It will cover tools to collect, manipulate, and analyze data from the web and other sources, with the objective of making students data savvy and comfortable with deriving insights from real-world, large datasets. Students will be exposed to the power of clickstream analysis and the possibilities that can be unleashed from testing and experimentation. By combining analytics skills with business acumen, it is geared toward providing students with the highly desired background – MBA/Masters with data analytics knowledge!The emphasis of the course will be on data savviness and practical usefulness.
Digital Transformations and Markets
The MIS doctoral seminars are intended to expose doctoral students to different perspectives, areas, and methodologies of MIS research. This seminar covers several topics in Internet-led shifts in markets and industries. In particular, it introduces students to current work in the Information Technology and Economics literature that primarily uses economic tools to analyze digital transformations and electronic markets. All papers covered are predominantly empirical, often using big data.
2015 Undergraduate Innovation in Teaching Grant ($10,000), Krannert School of Management, Purdue University.
- Krannert PhD Outstanding and Distinguished Teacher (Fall 2014, Fall 2016).
Krannert Master’s Outstanding and Distinguished Teacher (Fall 2015, Fall 2016, Fall 2017).
Krannert Undergraduate Outstanding and Distinguished Teacher (Spring 2015, Spring 2016, Spring 2017).
Krannert Certificate for Distinguished Teaching, (Spring 2006, 2007), Krannert School of Management, Purdue University (this is the highest recognition awarded by Krannert to a doctoral student instructor for excellence in teaching).
- Graduate Teaching Certificate, Center for Instructional Excellence, Purdue University.
Applied Analytics Using SAS Enterprise Miner, SAS Institute, Toronto, ON.