Teradata Corporation and SAS have announced that INPS, Italy's social security agency, has selected and implemented a combined Teradata and SAS enterprise data warehouse (EDW) and analytics system for healthcare-related fraud detection. The new system includes software, hardware and services which will accommodate the organization's growing requirements for visibility into detail data and analytical business insight, reduce costs and add efficiencies.
The Teradata data warehouse, combined with the SAS analytic solution, is critical in helping INPS and its many users analyze multiple terabytes of detailed data linked to millions of health insurance claims, patient experiences, doctors, hospitals, treatments, and procedures to answer complex questions and gain valuable insight into trends, costs and quality of care.
"Today's business organizations are challenged to manage huge data volumes while optimizing their analytical capabilities," said Hermann Wimmer, Teradata President for EMEA. "Innovative customer installations such as this one at INPS show that SAS and Teradata are delivering on the promise of in-database analytics, which is to give customers a flexible, powerful means for implementing advanced information management in one location."
INPS aspires to detect the highest possible number of non-compliant behaviours in terms of prognosis accuracy, whether by companies or individual claimants. This requires software-based investigation involving masses of dynamic data to analyze sickness certificates and medical inspection details.
