Of course they're all wealthy but what else separates these billionaires from everyone else? 

We took a look at the top billionaires in the country to see what their interests are, how many properties they have, who they donate to, and what their demographics look like. We also analyzed how these billionaires differ by age. How do the youngest stack up against the oldest? What makes each age group tick?Read more

Football season is in full swing, and teams are in competition yet again on the road to Minneapolis on February 4th. There’s volumes of data on the players, but what about the fans?

We’ve analyzed the 32 towns to see who drives what car, who owns a business and where the millionaires are. Do wealthy towns have winning teams? Check our stats below to see how your team and town stack up.

How does WealthEngine do this? With great data and cutting edge analytics. We can find football fans, car enthusiasts, millionaires and spenders. We do it every day for our over 3,000...Read more

Depending on who you ask, it’s quite possibly one of the best times of the year – the NCAA basketball tournament. In the spirit of the competition we decided to take a look at the wealthy individuals in the city each university in the Final Four is located. Specifically, we looked at the number of men and women with a net worth greater than $1MM. How did the cities stack up? Take a look at the infographic below.

Try our free trial of WE Prospect to see how your team's city compares to the Final...Read more

In honor of Valentine’s Day we analyzed the wealthiest bachelors and bachelorettes in the country. Take a look at the infographic below to see where these singles live, what they’re interested in, how charitable they are, how many properties they own, and more.

Curious how we found and analyzed this list? We started by creating a list in WE Prospect of single men and women in the US with a net worth greater than $5MM. Then we used...Read more

What is Big Data?
Ask 10 people, and you may get 10 different answers. Big Data can be generally defined as data from multiple sources that is combined in ways to make it informative and actionable. By combining data from disparate sets, patterns and insights emerge, and this actually creates more data! As patterns and trends are recognized in the data, these relationships, not previously a part of the data set, become new bits of data ripe for mining and analysis.

As time goes on, bigger data sets are also being generated because information is being...Read more

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