Group 1 Software, a wholly owned subsidiary of Pitney Bowes Inc., announced this week the general availability of its Advanced Matcher Transform.  The new solution provides user-defined matching and consolidation functionality as a module of Data Flow, Group 1's advanced data integration and analysis technology.  Data Flow's unique architecture allows it to accommodate high volume data transfer, rapid query-based extracts, analysis and reporting.  The announcement was made at The Data Warehouse Institute's (TDWI) World Conference, which is taking place this week in San Diego.

The Advanced Matcher Transform features flexible business rules that define matches utilizing a variety of selectable algorithms.  The solution lets users match on any field, including common variables such as part numbers, phone numbers, e-mail addresses, names or postal addresses.  Leveraging Data Flow's advanced architecture, the Advanced Matcher Transform is able to compare records simultaneously across multiple heterogeneous data sources.  The Advanced Matcher Transform's ability to determine relationships among records, plus Data Flow's ability to assign and manage persistent identifiers, permits Data Flow users to develop a single, accurate customer view.

The Advanced Matcher Transform's design makes it language-independent, enabling users to identify accurate matches for global data.  The product comes pre-packaged with matching templates, offering the optimal balance between best practices and user flexibility.

 


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