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The Data Trust Journey (COVID-19 Edition)

By John Abbatico | May 6, 2020

We often say to our partners that the use of predictive and prescriptive analytics is a journey. The foundation of this journey is establishing trust in what advanced analytical approaches are telling you. Trust takes time, even during a pandemic. This is a fact that is [...]

Addressing Affordability Amid COVID-19 with Data and Analytics

By Zach Varga | April 14, 2020

Like many organizations and industries, your institution and the entire higher education community are facing significant challenges from the COVID-19 global pandemic. Whether you are trying to enroll your class or you are working to ensure your current student body retains and [...]

NACAC Code of Ethics Changes: Thinking About “Melt” During a Pittsburgh Winter

By Andy Hannah | March 4, 2020

In Pittsburgh, and I am sure in other parts of the Northeast, our road crews actually “paint” the roads with salt to prepare for the snow. Because the salt melts the snow, this preparation prevents accidents and reduces delays in commutes. In a similar way, we need to prepare [...]

What does Advanced Analytics have to do with Student Success?

By Traci Roble | January 14, 2020

It’s not surprising that enrollment isn't the only problem for colleges and universities. Student success, inclusive of graduating on time with manageable debt and achieving positive post-graduate outcomes, is more and more a focal point of higher education institutions as [...]

(AAS 2018 Recap) How Outcomes-Oriented Leaders Use Advanced Analytics in Higher Education

By Dave Babst | October 26, 2018

The Advanced Analytics Summit (AAS) took place earlier this month in Pittsburgh, Pennsylvania, for its inaugural year. Needless to say, the event was a huge success! Over 30 schools were in attendance for the two-day event. It consisted of three speakers as well as numerous [...]

Making the Build vs. Buy Decision for Predictive Analytics

By Bob DiMaggio | March 27, 2018

The build versus buy decision is significant for higher education institutions, especially when it involves data and analytics software. There are a number of factors to consider, including costs, technical proficiency, domain experience, time and others. Here are a few things [...]

Why Machine Learning for Enrollment Management

By Mark Voortman | November 2, 2017

Over the last few posts, we’ve established that for the most accurate predictions for enrollment, you want a solution built with machine learning. But not all machine learning is created equal. Some solutions apply the same algorithm across all of the institutions it works with [...]

What’s Driving a Predictive Analytics Tool?

By Mark Voortman | October 25, 2017

Over the last few posts, I’ve talked broadly about predictive analytics and higher education. While there are many great insights gained by using predictive analytics, you need to consider the data science driving the solution. Is it based on linear regression or is it machine [...]
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