Ask the Expert Webinar Series

Implementing a Digital Twin for the Monopoly Board Game Using SAS® Viya®

Join this webinar to explore the use of digital twins to better understand the specifics of real-world environments.

Feb. 12 • 10:00 a.m. ET | 4:00 p.m. CET • Cost: Complimentary

About the webinar

The game of Monopoly can mirror real-world challenges. There’s strategy and yes, at times, frustration. But what if you could derive actionable insights into your processes? Together, we’ll examine how SAS Viya is a perfect environment to create a digital twin to generate synthetic data about real-world problems – winning at the game of analytics.

You will learn more about:

  • How the powerful SAS Viya platform creates Monte Carlo Simulations to create digital twins.
  • Tips and tricks for using SAS data step, procedures, arrays, formats and more.
  • How to combine the digital twin with SAS Visual Analytics to make your results more actionable.

Have a SAS profile? To complete this form automatically Sign In

*
*
*
*
 
 
 
 Yes
 No

All personal information will be handled in accordance with the SAS Privacy Statement.

 
  Yes, I would like to receive occasional emails from SAS and SAS business partners about their products and services. I understand I can withdraw my consent at any time by clicking the opt-out link in the emails.
 
 

About our expert


Gerhard Svolba

Data Scientist, SAS

Gerhard Svolba, PhD, is an analytic solutions architect and data scientist based in Austria. He is involved in numerous analytical and data science projects in different business and research domains, including demand forecasting, analytical CRM, risk modeling, fraud prediction and production quality. His project experience ranges from business and technical conceptual considerations to data preparation and analytic modeling across industries. He is the author of these SAS Press books: Data Preparation for Analytics Using SAS®, Data Quality for Analytics Using SAS® and Applying Data Science: Business Case Studies Using SAS. As a part-time lecturer, Gerhard teaches data science methods at the University of Vienna and the Medical University of Vienna.