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If you follow our blogs or attend our webinars, you may have noticed that we're been doing a lot with artificial intelligence recently to drive value out of the student onboarding and student compliance processes. I'll have to admit that until recently, my experience with AI had been driven by my data warehousing role at PeopleSoft in the 1990's.
Here is how things have changed since then.
Most enrollment leaders struggle with labor-intensive and error-prone qualification processes. As the final installment of our residency and qualifications series, we will go into more detail on how our solution addresses these needs.
In our first article in this series, we described how central the qualification process is to an institutions’ ability to meet enrollment, productivity, and responsiveness goals. We then provided an overview the general process and approaches. In this article, we will discuss the systems involved in this process and how they may be limiting an institution’s success in this area.
As another fall recruitment cycle comes to a close, one can’t help but think about all of the challenges facing enrollment managers. From shifting demographics and changes in student mobility patterns to limited flexibility and agility in developing new and diverse educational opportunities to functioning with a heavy workload in a high-stress environment, it is not an easy time to be working in enrollment management. Mining through the mounting challenges, tasks, and meetings, the last thing enrollment leaders should be worried about is the application for admission and the technology associated with it.