Anomalies: Drivers of Progress

By Mark Voortman | April 29, 2020

The most exciting phrase to hear in science, the one that heralds new discoveries, is not “Eureka” but “That’s funny...”- Isaac Asimov Newton’s law of universal gravitation made successful predictions for hundreds of years. Then one odd anomaly in Mercury’s orbit changed [...]

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 [...]

Predictive Modeling for Enrollment

By Mark Voortman | October 17, 2017

Last week on the Othot blog, I talked about why higher education institutions should use predictive analytics. This week I’ll discuss one area where predictive analytics can have a tremendous impact: enrollment management. A predictive analytics tool for enrollment should answer [...]

Predictive Analytics and Higher Education

By Mark Voortman | October 11, 2017

Predictive analytics is the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends. In essence, predictive analytics makes predictions about the future, for example, enrollment targets. Organizations are [...]

One Size Does Not Fit All

By Ashton Black | October 28, 2016

Differentiating with Preprocessing, Machine Learning Algorithms, and "What-If" Scenarios Everyone is unique. We fill our free time a number of different ways. We spend a night out at our favorite restaurant, enjoying different types of cuisine. We buy clothes from certain [...]

The Complexity of Simplicity

By Mark Voortman | September 21, 2016

I sometimes wonder how many people have heard of John von Neumann.1. No, he is not a sports legend or something along those lines. John von Neumann was a child prodigy who became one of the most important and prolific mathematicians of the 20th century with major contributions [...]
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