Leveraging Cloud-based Data Resources to Build a Top-rated Dashboard to Support University COVID-19 Decision-making 

The use of a cloud-based data lake to integrate a vast amount of data from multiple sources in real-time in response to events like COVID-19 is new territory for higher education.  This webinar is a case study of how Ohio State University’s IT, analytics, and public health community responded swiftly to leverage cutting-edge cloud computing, big data, and visualization tools to develop a suite of operational dashboards to support COVID testing, contact tracing, quarantine/isolation, and reporting needs so that the University could continue its academic mission.  We will demonstrate the new data architecture and collaborative framework.  As a result of this webinar, participants will:

  • Understand the overall technical architecture of a cloud-based analytics environment 
  • Consider a case study in which a comprehensive set of dashboards were developed using a robust cloud-based platform
  • Describe how IT, IR, Data Science, and faculty researchers can work collaboratively to create great analytics products

Registration Information


  • One registration may be used in a conference room setting to share with a group of colleagues.
  • Registration closes one hour prior to the webinar.
  • Registered participants will have access to the webinar recording for 30 days following the live event.

Length/Time Commitment

1 Hour

Date(s): May 12

Time: 2:00 p.m. - 3:00 p.m. ET

Format: Live Online

Topic: Analytics

Experience Level: All

Member/Non-Member Price: $59 Member/$79 Nonmember

Presenter(s): Henry Zheng, Eric Mayberry, Leanne Stanley