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10 Tips for Tackling Predictive Modeling in Fundraising

Over the years, we've helped many organizations bring predictive modeling in-house and have learned a lot along the way. Below is a "best of" list of ten tips that our fundraising customers helped us put together to make the modeling process - from idea through to...

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Data on the Edge: Handling Outliers

Before we tackle how to handle them, let’s quickly define what an outlier is.  An outlier is any data point that is distinctly different from the rest of your data points. When you’re looking at a variable that is relatively normally distributed, you can think of...

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Facebook, Data Science and Valentine’s Day

Today is February 14th, also known as Valentine's Day or the Feast of Saint Valentine, depending on where you are in the world.  In some places it's a holiday.  The day was first associated with romantic connotations thanks to Chaucer's poetry in the 14th century....

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Detection and Correction: Data Prep Pitfalls

jon macmillan senior data analyst Seven challenges to be aware of when exploring your data According to an article written by Northeastern University, the total amount of data in the world was 4.4 zettabytes in 2013 (That's 4,400,000,000,000 gigabytes!!). We are set...

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Detection and Correction: Four Ways to Find Data Errors

Errors are the norm, not the exception, when working with data. By now, you’ve probably heard the statistic that 88% of spreadsheets contain errors. Since we cannot safely assume that any of the data we work with is error-free, our mission should be to find and tackle...

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Why Law Schools Should Consider Predictive Modeling

It’s no secret that the law school environment has gone through some dramatic changes in the past few years. For me, this realization came while helping one of our law school customers with a predictive model they were building. No matter which way we sliced their...

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Defining Rapid Insight

We are often asked by people what makes Rapid Insight different- both as a company and also how our products are different.  To answer that question, we're reposting this interview with Rapid Insight CEO, Mike Laracy, who talks about what drove him to start the...

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NULL: When Missing Data is Valuable

In statistics, missing values generally fall into one of two categories: those values that are missing at random, and those values that are not missing at random. For this article, we’re focusing on the second case. Sometimes a new variable marking when a variable is...

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Rapid Insight Announces 70 New Customers in 2013

Organizations range from universities and community colleges to health care and financial institutions Conway, NH December 19, 2013 –Rapid Insight, the market leader in easy-to-use business intelligence and predictive analytics software, announced today that they have...

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