matchIT Hub is a lightning fast cross-platform matching solution that delivers deduplication of large contact databases and matching across files of any type and size. The engine that powers matchIT Data Quality Solutions, for batch and interactive use.
matchIT Hub is built around helpIT’s proven fuzzy matching engine, which has delivered a rapid return on investment for over 2,000 companies worldwide.
- Easy connectivity allows companies to benefit quickly from effective matching across data sources – integration is extremely quick
- Superior performance delivers real-time matching on streams of data matching to large files (even billions of records) removing the reliance on nightly updates to achieve a Single Customer View
- Intelligent matching engine maximizes the proportion of matches that can safely be automated, unlike conventional match key solutions
- Enables the calling application to ensure that only good quality contact data is allowed to enter the database
matchIT Hub allows your existing systems and packages greatly improved control over your data quality. It can be integrated into many Data Integration, Data Preparation and Analytics tools including Alteryx, Talend Open Studio and Pentaho Data Integration. Many users of these solutions find that poor contact Data Quality delays or even prevents implementation and therefore negatively impacts Return On Investment. Integrating matchIT Hub into these solutions resolves contact Data Quality problems that result from poor data structure, duplication of customer records, and customer records that are not linked across systems.
Why choose matchIT Hub?
Lightning speed due to processing entirely in-memory
Scales automatically across multiple processors and machines
Maximise number of matches that can be automated for batch processing
What our customers say
What sets matchIT apart is its abillity to match the records even when data entry discrepancies exist. Misspelled names, typos, and differing abreviations are not a problem for matchIT. At times matchIT knows what our users were thinking when they originally created the records.”
Director of Business Systems.