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Models, Models, and More Models! I'm Going Crazy Keeping Track of All These Models! Do I Have Too Many???
Thursday, August 3rd, 2017
8:15 AM - 9:20 AM: Breakout 1
The age of big data has given rise to an exponential number of modeling choices- it seems you can model just about anything these days. It's tempting to want to try them all in an effort to improve your program results, but at what point does the time required to manage multiple models outweigh the potential gains? When do I know if I have too many? In this session, you'll learn strategies on how to best evaluate your mix of current models and test methodologies on where and when to bring in new ones. You'll also learn how some models can be consolidated into a more efficient and easier to manage solution.
Learning Outcome #1
By attending this session participants will learn:
Evaluation strategies to help optimize the mix of models for your program
Learning Outcome #2
By attending this session participants will learn:
How to set up manageable test methodologies to introduce new models or replace old ones
Learning Outcome #3
By attending this session participants will learn:
How consolidating models can provide a more efficient and effective impact
To enhance the attendee's learning experience, we are looking for a variety of presentation styles. Please indicate your style: A panel of presenters
Session Presentation: 106140-3-34796.pdf