Data management is the fundamental challenge facing the US government today. Federal, state and local agencies struggle to find ways to share information. Private companies that use or provide government information face the same struggle. New regulations, such as the Paperwork Reduction Act, the Information Dissemination Requirements of the PRA, the USA PATRIOT Act and and the Data Quality Act of 1995 have forced many agencies to enact new guidelines on the quality of interagency sharing of data. As the world's largest provider of services, government has much to gain by streamlining processes and improving interagency data sharing. IAT helps companies to:

Match complex name forms across government systems.

Understand the true nature of data and identify previously unknown occurrences of suspect data.

Detect fraud and suspect entities by linking related entries in consolidated data repositories.

Unify entity views to empower litigation research and provide more complete and reliable data at single points of query.

IAT provides the necessary insight and proprietary technology that:

Deduplicates and links customer records, even records with highly complex name forms.

Pinpoints 'problem' areas in the data in order to seamlessly move into cleansing and migration projects.

Unifies diverse legacy data, third party data and free-form text into a single, more robust entity view.

Provides consistent results across systems and platforms.

Quickly processes large data volumes.

Provides sophisticated checking of local data against banned-entity lists from regulatory agencies (OFAC, OSFI, BoE, etc.).