View the impact of a particular service on a group of students

In the example below, you can see that Estudias Enterprise has automatically integrated downloaded Colleague GPA information to show how the number of tutoring contacts affects student GPAs [continued below].

While the GPAs fluctuate, there is still a clear correlation between a higher number of tutoring contacts and a higher GPA  (average GPA is at 2.6 for students with one contact and over 3.0 for students with 22 contacts).   This chart helps to determine how many times a student needs to receive the service to show an improvement.  For example, you can see that student GPA increase was much higher for the first 7 contacts than for the next 7.  As the number of contacts increase, you start to see diminishing returns.  

Estudias Enterprise even predicts how students would do with more contacts.  You can see that no students had more than 26 contacts, but looking at the data, Estudias is able to predict that added contacts may not help a student’s GPA.

Even though it is difficult to go from correlation to cause-effect, this is powerful information that can help evaluate your services and determine ahead of time whether adding new services would help achieve your project goals.