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Getting the Most From SAS® Enterprise Miner: A Virtual Event Series

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SAS wants to ensure you are ready and able to get the most out of SAS® Enterprise Miner™. Want to maximize the software’s value in your organization? Then don’t miss this three-part virtual learning series. We’ll show you everything you need to know to glean the most value from this tool.

This three-part series will cover the following topics:

  • Introduction to Data Mining and SAS Enterprise Miner - Wednesday, June 7.
  • Model Creation in SAS Enterprise Miner - Thursday, June 15.
  • Best Practices for Predictive Modeling Including Tips and Tricks for SAS® Enterprise Miner - Wednesday, June 21.

Don’t miss this opportunity to make the most of your investment. And we’ll be with you – every step of the way!

About the presenter



Melodie Rush

Melodie Rush, Principal Statistician for the Customer Loyalty Team, SAS

Melodie Rush is a Principal Statistician for the Customer Loyalty Team at SAS. Rush received both her BS in statistics and her MS in management with a technical option in statistics from North Carolina State University. Before joining SAS in 1996, Rush worked for Research Triangle Institute as a statistician. Her responsibilities included implementing national and local surveys on various topics such as health care, employee benefits and drug abuse. As part of her research, she has published work for both the American Statistical Association and the American Public Health Association. After joining SAS, Rush has developed presentations and methodology for doing many types of analysis, including data mining, forecasting, data exploration and visualization, quality control and marketing. She has spent the last 20 years helping companies identify and solve problems in each of these analytical areas.

Introduction to Data Mining and SAS® Enterprise Miner™

Wednesday, June 7
11 a.m. – 12:30 p.m. ET

What exactly is data mining and how can it help your organization more confidently predict the future? This presentation will introduce you to the essential aspects of data mining and give you a guided tour of SAS Enterprise Miner, the powerful data mining workbench from SAS. Specific topics include accessing data, creating a data mining flow, model comparison and SAS Rapid Predictive Modeler. Topics we will cover during this session include:

• SAS® Enterprise Miner™ and data mining overview.
• Creating a data mining flow.
• Introduction to modeling and model comparison.
• Scoring in SAS Enterprise Miner.
• Generating predictive models quickly and easily using SAS® Rapid Predictive Modeler.

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Model Creation in SAS® Enterprise Miner™

Thursday, June 15
2 – 3:30 p.m. ET

SAS Enterprise Miner has a rich source of data mining and machine-learning algorithms. This session will cover the modeling algorithms available in SAS Enterprise Miner and how to tweak their properties for better model performance. During this session you will also learn:

  • Modeling techniques, including what is available and how to change the settings.
  • Integrating models from other sources, including:

 - Champion models.
 - Models from outside SAS Enterprise Miner.
 - Open source models.
 - Model deployment, plus how to create score code.

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Best Practices for Predictive Modeling Including Tips and Tricks for SAS® Enterprise Miner™

Wednesday, June 21
2 – 3:30 p.m. ET

During this session, you will learn best practices for successfully creating a predictive model. Hear tips and tricks compiled from 20 years of experience using SAS Enterprise Miner.

You’ll also learn:

  • Background and general guidance.
  • Data construction.
  • Model development and delivery.

Register now for this free webinar!

This event is no longer available for registration.

 
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 Wednesday, June 7: Introduction to Data Mining and SAS Enterprise Miner
 Thursday, June 15: Model Creation in SAS Enterprise Miner
 Wednesday, June 21: Best Practices for Predictive Modeling Including Tips and Tricks for SAS Enterprise Miner
 
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