Ask the Expert Webinar Series

How Can I Collaborate With My Coworkers in SAS® Viya® to Build Better Models?

On-Demand • Cost: Complimentary

About the webinar

Join this special edition webinar to learn how to gain insights into your data faster than ever!

SAS Viya provides a highly interactive, collaborative environment for exploring your data, building exploratory and sophisticated machine learning models, and communicating model performance – without writing a single line of code.

You will learn about:

  • The industry-leading advanced analytics and machine-learning capabilities of Viya.
  • The integrated Viya approach to support for the complete analytics life cycle and the collaboration of all roles within the life cycle.
  • The approachability of advanced analytics and machine learning and support of the analytics life cycle though the non-programming, interactive visual applications of Viya.


Welcome and Agenda Review
T Winand, Analytics Director
Data Exploration and Discovery Using Visualization and Interactive Dashboards
Ted Stolarczyk, Business Analyst and Report Developer
Building Interactive Exploratory Models
Melodie Rush, Business Analyst
Building Production Models
M-E Eddlestone, Data Scientist
Visualizing and Communicating Model Performance and Results
Ted Stolarczyk
Summing Up What We Learned and Review of the Webinar Series
T Winand
SAS Trivia Game With Prizes

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


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

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

About the Experts

Melodie Rush
Principal Systems Engineer, SAS

Melodie Rush is a Principal Data Scientist for the Customer Success Technical Team at SAS. She received both her BS in statistics and her master’s in science of management from North Carolina State University. Since joining SAS, Rush has developed presentations and methodology for doing many types of analysis, including data mining, machine learning, forecasting, data exploration and visualization, quality control and marketing. She has spent more than 20 years helping companies identify and solve problems in each of these analytical areas.

Mary-Elizabeth (“M-E”) Eddlestone
Advisory Data Scientist and Analytics Technical Advisor, SAS

M-E Eddlestone has been on a career-long quest to demystify analytics and help people solve business problems in meaningful ways that have a positive impact on their business. She provides strategic mentoring services to help customers more effectively use analytics in inspired ways to gain greater insights into their business.

Ted Stolarczyk
Technical Advisor, SAS

Ted Stolarczyk helps organizations tell their most impactful story with their data. He leads customer adoption efforts around the SAS Visual Analytics solution and has been providing technical pre- and post-sales customer care support his entire career. Stolarczyk can showcase overall capabilities, or he can explain how it can integrate with a customer’s internal business process and technology site-specific requirements.

T Winand
Senior Presales Solutions Architect, SAS

William “T” Winand is a computer software professional and analyst with over 25 years’ experience in program design and development, data management, statistical analysis and reporting. Since 1995, Winand has focused his efforts on helping organizations achieve value and growth through the effective use of analytics: statistical analysis, descriptive and predictive data mining, text mining, forecasting and model management. Winand is a Senior Solutions Architect on the Global Customer Success Technical Team.