National Speaker:

Ann Dzuranin, Dean’s Distinguished Professor of Analytics in Accounting at Northern Illinois University
Data and Analytics: Curriculum Innovation to Meet Employer Needs
Gain data and analytics teaching insights and inspiration!

May 3, 2019

10:45 am - 12:00 pm
Session 1.02: Data and Analytics for your Accounting Courses: Diving into Data and Analytics - Ways to Incorporate Data and Analytic skills into any Accounting Course
Presenter: Ann C. Dzuranin, Northern Illinois University
It is difficult to teach data analytics unless you understand how it applies to the accounting profession. This session will explore the data and analytics skills employers are seeking from accounting graduates. In this session you will learn ways to incorporate those skills into your current courses.

1:45 pm - 3:25 pm
Session 2.02: Activities, Resources, and Takeaways from AAA’s Intensive Data and Analytics Summer Workshop
Presenter: Wendy Tietz, Kent State University

Accounting students need to be equipped with stronger IT skills, an analytics mindset, and a working knowledge of data analytics tools and techniques. In this session, you will be provided with ready to use data analytics assignments as well as a variety of analytics resources and data sources.

3:55 pm - 5:35 pm
Session 3.02: Emerging Issues Forum: Highlights from AAA’s Blockchain Technology Conference
Presenters:  Susan V. Crosson, American Accounting Association, Ethan Kinory, Rutger, The State University of New Jersey, Sean Stein Smith, Lehman College, CUNY

Learn the fundamentals of blockchain technology and consider its disruptive impact through a variety of use cases. How will blockchain technology challenge the accounting curriculum?

May 4, 2019

9:05 am - 10:45 am
Session 4.02: Microsoft's Power BI Basics Part 1 (PC bring your PC pre-loaded with Power BI, free, easy-to install; instructions will be provided in advance)
Presenters: Guido L. Geerts, University of Delaware, Gail Hoover King, Washburn University
Most big data projects go through a prototypical sequence of steps: discovering data, organizing data (extracting, profiling, transforming), enhancing data (information modeling), and analyzing data. Each of the different steps requires a different set of skills. This workshop first (Part I) discusses how Power BI supports the different steps followed by an in-depth discussion of how to build powerful, interactive dashboards with Power BI for analyzing data.