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Six Predictive Modeling Mistakes

As we mentioned in our post on Data Preparation Mistakes, we've built many predictive models in the Rapid Insight office. During the predictive modeling process, there are many places where it's easy to make mistakes. Luckily, we've compiled a few here so you can...

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Facebook’s Graph Search and Prospect Research

“Facebook’s mission is to make the world more open and connected. The main way we do this is by giving people the tools to map out their relationships with the people and things they care about. We call this map the graph. It’s big and constantly expanding with new...

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Four Years of Predictive Modeling and Lessons Learned

I recently got the chance to talk with Dr. Michael Johnson, Director of Institutional Research at Dickinson College, about his experiences with predictive modeling over the past four years. Dr. Johnson will be presenting a free webinar, "Four Years of Predictive...

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Dealing with Nulls in Veera Transform Formulas

This next post comes from Jeff Fleischer, our Director of Client Operations, support wiz, and analyst extraordinaire: Working out the logic of a new variable you want to create with a TRANSFORM node can be challenging. But when missing data ("nulls") get into the mix,...

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How to Interpret a Decile Analysis

After building a predictive model, there are several ways to determine how well the model is describing your data. One visual way to get an idea of how well a model is fitting your data is by taking a look at the decile analysis. Here we’ll take a look at what the...

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Valuing Analytics & Predictive Modeling in Higher Ed

As promised, here is part two of my interview with Mike Laracy, Founder, President, and CEO  of Rapid Insight. Mike's 20+ years of data analytics & predictive modeling experience have provided him with many insights. Here's Mike on becoming more data-driven in higher...

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Defining Rapid Insight

I recently had the opportunity to sit down with Mike Laracy, President and CEO of Rapid Insight to ask him a few questions about analytics in higher education, predictive modeling, and Rapid Insight. I’ll be posting the interview as a two part series here on the blog...

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Thoughts from a Registrar

Dan Wilson, Registrar at Muskingum University, recently talked with us  about some of the reports he's been working on, how he's using Veera Construct, and his upcoming webinar. CG - What types of reports are usually on your plate? DW - Some of the reports I'll be...

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Customer Tips: Roundup Edition

Here are a few extra tips for a roundup edition of our Customer Tips series to get your new year off to a good start! Sometimes it's helpful in an analysis to recode variables, like recoding a binary variable for retention to a binary variable for attrition. - Jean...

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Rapid Insight’s Holiday Wishlist

   As the holiday season is in full swing, we at Rapid Insight have taken the opportunity to put together a wishlist of things we’d like to see more of in the future. We’re envisioning a world where… …there are no hidden network firewalls – and no need for them.  –...

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Thoughts from a Reporting Wiz

Scott Alessandro of the MIT Sloan School of Management is a lover of ad-hoc reporting and coffee ice cream.  In anticipation of his webinar on Friday, we asked him a few quick questions about his day-to-day analytic life. CG - What types of analytic requests do you...

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Five Data Preparation Mistakes (and How to Avoid Them!)

After building many predictive models in the Rapid Insight office and helping our customer build many more models outside of the office, we have a list of data preparation mistakes that could fill a room. Here are some of the most common ones we've seen: 1. Including...

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