Italian govt agency INPS selects Teradata and SAS for enterprise intelligence

by CXOtoday Staff    Dec 01, 2010

health ITItaly’s social security agency INPS, has recently implemented a combined Teradata and SAS enterprise data warehouse (EDW) and analytics system for healthcare-related fraud detection.

This system includes software, hardware and services which are meant to accommodate the organization’s requirements for visibility into detail data and analytical business insight, reduce costs and add efficiencies, informed the company. Teradata (NYSE:TDC), is an enterprise data warehousing solution provider, while SAS is a provider of business analytics software and services.

Referring to the implementation, Hermann Wimmer, Teradata President for EMEA, commented that, “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.”

Wimmer further added that by utilizing the processing power of the Teradata Database and running SAS Analytics where the data resides, both partners are giving organizations like INPS an efficient and effective way to fully leverage their technology resources.

INPS aspires to detect the highest possible number of non-compliant behaviors 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.

“The on-going collaboration between SAS and Teradata ensures that our joint customers can apply leading analytic solutions to their daily operations to remain competitive and continue to grow when many other companies are struggling - especially in a sector like Public Administration that is faced with the need for social innovation,” remarked Marco Icardi, SAS Italy country manager.

Considering the collaboration, Teradata stated that, the agency expects to better manage and optimize the medical inspection visits strategy and anticipates significant cost reductions while enhancing effectiveness. The use of analytic techniques and data mining aims at spotting information hidden in the data and anomalous behavior to discover meaningful patterns and suspicious activities.

The combination of the INPS-designed statistical models and the Teradata Data Warehouse, optimized by the analytic capabilities of SAS, enables analysis of the ‘sickness certification’ phenomenon. This, in turn, is expected to enhance the medical inspection visits strategy, leading to cost reductions plus enhanced effectiveness.