1-10 of 15 results
On-Demand Webinar
The Day in the Life series is a practically driven walkthrough of the software. It assumes the context of data analysis for enrollment management, and is narrated in a stream of consciousness so that users can more easily understand the typical usage of the applications in action.
Blogs
If you use data in any capacity at all, you’re already preparing to build a model. Learn the 6 steps to design a predictive model and see which steps you've already completed.
On-Demand Webinar
Predict offers a lot of easy pathways towards answers that are front-of-mind for users and stakeholders alike. In this Deep Dive webinar, look forward to hearing about the ways that Predict can support answers to pressing questions of modeling practice.
Blogs
Learn three guiding principles of student-centered digital change.
Blogs
To use data for decision-making, campus leaders must overcome obstacles to data literacy. See tested strategies from our partner schools to build and improve data literacy.
Blogs
Predictive modeling in higher education offers exciting opportunities to improve decision-making. With thoughtful planning and implementation, modeling can help your institution foster equitable outcomes. Learn 4 characteristics of equitable predictive models to ensure your institution's modeling supports your equity goals.
On-Demand Webinar
This session will frame these scores within a larger context of retention theory to help partners better support their ongoing retention initiatives on campus.
On-Demand Webinar
The Deep Dive Series is comprised of Rapid Insight user training videos. The series focuses on essential tips for successful use of Construct, Predict, and Bridge.
Blogs
Learn about consumer trends relevant to higher ed—and a framework to help your campus build stamina for continuous innovation.
On-Demand Webinar
This six-part series takes you back to basics in both Construct and Predict. Review the on-demand materials from the webinar to learn more about how to leverage these tools to support your data work.
