Struggling with increasing demand for services amid widespread economic constraint, human services organizations face a major dilemma—how to minimize costs while improving services and ensuring accurate benefit distribution.
By using analytics, forward-thinking human services organizations are rising above this challenge. They are preventing, detecting and mitigating transactions where there is error, fraud or abuse. And they are using information gleaned from analytics to significantly reduce operating costs and drive business results.
These analytics approaches represent a dramatic break from the status quo. Human services agencies have traditionally used analytics to identify and correct non-compliance only after a transaction had been completed—for example, using analytics to identify cases for investigation. In this “pay, then chase” model, organizations are spending already scarce resources to pursue fraudulent or erroneous payments that should never have been issued.
Now, human services solutions that reflect innovations in synchronizing processing and predictive analytics allow agencies to work more proactively than ever. Rather than detecting and correcting non-compliance after the fact, they are staying steps ahead with analytical insight.