With so much data in so many systems, it can often be hard to know what information is meaningful to include in predictive models. Sometimes the least obvious data might have the biggest impact on the model’s accuracy.
In this webinar, we shared some ideas on how you can include information outside of your student information system or CRM, easily and quickly. We went over some case studies that show how “unusual data” has had a big impact on the models and led to positive outcomes. The presentation finishes with a demonstration of how tools from Rapid Insight make it easy to include any information in your modeling projects- and most importantly, how the results are transparent so they can easily be explained to any stakeholders.