You might have had to seek common references between
two data tables without these references beging always
the same: misspelled names, addresses, descriptions,
codes or identifiers different from one organization
to the other...

Now docBird CrossReferencer allows you to
automatically find similar references between two data
tables. This tool is ideal for analyzing large volumes
of data and for analyzing information that you
frequently use: customer records, product catalogs,
lists of bills, classification tables, etc ... Tasks
that seemed binding and even impossible before, will
now be handled in a few clicks with docBird
CrossReferencer.

docBird CrossReferencer determines matches according
to your own rules of recognition. It compares the
columns you specify (addresses or descriptions for
example) using one of the many likeness algorithms the
tool features. So you can configure your search rules

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