On-Demand Webinar

Analytics 101 (Part 3)

Join us for part three of our webinar series focused on the application and deployment of predictive modeling.


About the webinar

In part one of our series, we introduced you to a road map to navigate the analytics landscape and discussed the variety of techniques available to uncover meaningful insight from your data.

In part two, we discussed analyzing unstructured data as the fastest growing source of data and unique insights.

In part three, we’ll focus on the application and deployment of predictive modeling. Modeling enables organizations to make data-driven decisions. Operationalizing these models is key to maximizing the value to your organization.

Why attend?

  • See how to efficiently build accurate predictive models using machine learning techniques.
  • Better understand how to deploy and manage models to implement predictions within business processes.
  • Learn how to integrate open source models to expand your analytics ecosystem.

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About our expert guests

Speaker 1

Molly Jones, SAS

Molly Jones is a Senior Solutions Architect with a focus in providing analytical solutions to the SMB market. Before coming to SAS, she was a SAS user in the biopharmaceutical industry. Jones has a master’s in analytics from North Carolina State University and a BS in biostatistics from the University of North Carolina at Chapel Hill.

Speaker 1

Jen Lampert, SAS

Jen Lampert is a SAS Systems Engineer focusing on data management and business intelligence. Before coming to SAS, she used SAS in her role as a crime analyst for a local law enforcement agency. Lampert has a BA in political science with a concentration in criminal justice.

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