Original Thoughts Blog

Original Thoughts Blog 2017-10-17T13:17:42+00:00

What Does it Mean to be a Data-Driven Organization?

There is a famous quote by W. Edwards Deming that goes something like this, “In God we trust, everybody else bring data.” Deming was an American engineer that is often credited as a leading force for the post-World War II Japanese economic recovery. He believed in total quality management focused on improvements informed by [...]

By | November 14, 2017|Predictive Analytics|

What’s driving a predictive analytics tool?

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 learning? That could be the difference between achieving and [...]

By | October 25, 2017|Data Science|

Predictive Modeling for Enrollment

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 the following question, “What is the likelihood of a student to enroll?” The [...]

By | October 17, 2017|Predictive Analytics|

Predictive Analytics and Higher Education

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 turning to predictive analytics to increase revenues, mitigate risk, and meet goals. There is a need [...]

By | October 11, 2017|Predictive Analytics|

Getting a Bigger Return on List Buys

Over the past two decades, buying student names from the ACT, College Board, and other sources has become the standard for enrollment professionals under pressure to meet enrollment targets and find best-fit students. After all, competition for students is fierce and prospective students often apply to numerous potential schools. The New York Times reports [...]

By | May 30, 2017|Predictive Analytics|

One Size Does Not Fit All

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 stores because they are more suited for our shape and our style. [...]

By | October 28, 2016|Business, Industry, and Markets, Predictive Analytics|