Italian Government Agency INPS Selects Teradata and SAS® for Enterprise Intelligence

CARY, N.C. and DAYTON, Ohio, Nov. 25, 2010 /PRNewswire/ -- Teradata Corporation (NYSE: TDC), the global leader in enterprise data warehousing, and SAS, the leader in business analytics software and services, today 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.

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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."

Wimmer added that organizations realize two critical benefits through Teradata's partnership with SAS. "One is specific to business: Decision makers can be more agile and responsive to changing business needs by leveraging their data as a strategic corporate asset. The other is the IT advantage of standardizing on two market leaders for a single analytics and data warehousing platform," he said. "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 noncompliant 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.

"SAS is witnessing a growing interest from EMEA companies who want to lead with analytics," said Marco Icardi, SAS Italy Country Manager. "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."

Each year INPS receives about 12 million individual sickness certificates and indemnifies a virtual 164,000 years of work, corresponding to 60 million days of work, for which it pays out several billion euros. To manage and analyze such events and verify the authenticity of sickness certificates, INPS carries out around 1.5 million medical inspection visits that cost tens of millions of euros per year.

Thanks to the combination of the INPS-designed statistical models, the Teradata data warehouse and the capabilities of the SAS Analytics platform, 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 rapid distribution of intelligence to all users involved is of the essence in scheduling of medical inspection visits and thus swiftly detect fraudulent behaviors against INPS.

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

The INPS announcement was made in tandem with the annual Italy Teradata User Group meeting this week in Rome.

About INPS (Instituto Nazionale Previdenza Sociale)

INPS, based in Italy, is the main social security organization and issues pensions to 16.5 million people annually. The Institute also provides other services, such as unemployment benefits and many types of aid administered by the Ministry of Welfare, making the total number of constituents being served 35 million. Details are at INPS.

About SAS

SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions delivered within an integrated framework, SAS helps customers at more than 45,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world THE POWER TO KNOW®. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2010 SAS Institute Inc. All rights reserved.

About Teradata

Teradata Corporation (NYSE: TDC) is the world's largest company solely focused on raising intelligence and achieving enterprise agility through its database software, enterprise data warehousing, data warehouse appliances and consulting. Visit Teradata on the Web at www.teradata.com. Teradata is a trademark or registered trademark of Teradata Corporation in the United States and other countries.

Teradata is a trademark or registered trademark of Teradata Corporation in the United States and other countries.

SOURCE Teradata Corporation

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