Bloomberg Businessweek wrote about what we call our Moneyball Engine earlier this week. Moneyball is the statistical algorithm for how we pair the best worker for the jobs or “Gigs” posted on Gigwalk - and yes, it was inspired by the book/movie of the same name. For those of you who are not familiar with Moneyball, the story goes like this:
The 2002 Oakland A’s were the third least funded team in Major League Baseball. They needed to figure out how to compete when they could not afford the most sought-after talent.
Traditionally, baseball players were recruited using stats such as RBI, stolen bases, and batting average. By applying mathematical models to player statistics however, The A’s management team learned that those factors are not the best predictor of offensive success for a player. The statistics that really mattered are actually on-base percentage and slugging percentage. So they used these statistics to recruit players for the 2002 season.
The result? The Oakland A’s made it to the playoffs, and set a record for the largest winning streak in the American League in 2002. The Boston Red Sox followed suit the next year and took the pennant.
Here at Gigwalk, we believe that temporary workers can be hired using a similar model to what the A’s used in 2002. We aggregate billions of data points on each Gigwalker monthly via our Moneyball algorithm to figure out what skills really matter to successful completion of a Gig, and match workers who have demonstrated those skills to the right Gig.
Read the Bloomberg article, or contact us to learn more.