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

May 12-12, 2021

Webinar: May 12, 2–3 p.m. ET

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. 

  • One registration may be used in a conference room setting to share with a group of colleagues. 
  • Registration closes 60 minutes prior to the webinar. 
  • Registered participants will have access to the webinar recording for 30 days following the live event.  
  • $59/$79 (members/nonmembers)
Event Type(s): Webinar
Event Topic: Analytics
Experience Level: All
Length of Event: 60 minutes
Date(s): May 12-12, 2021
Cutoff Date: May 12, 2021
Instructor/Presenter: Henry Zheng, Eric Mayberry, Leanne Stanley