As companies continue to advance Big Data projects, they are realizing that sophisticated data analytics that combine structured and unstructured data might give them their best chance yet to pinpoint fraud, waste, and abuse by employees.
The hybrid approach “builds a better mousetrap,” said Samir Hans, an analytics principal with Deloitte’s financial advisory services. “Just using structured data puts the accuracy of your model at about 70 percent,” he says. “Adding additional data points from e-mails or tweets—people actually do brag about what they do on social media—you can increase your model to maybe about 80 percent, with fewer false positives.”
