comparing matched data
There are occasions where you need to match data that doesn’t fit exactly. Maybe a postcode is missing, a name is misspelled or a date has been entered incorrectly. In situations like this a database can deliver a set of likely matches than need to be checked.
Additional tools can be used to aid the matching process. This database employs a system to match names that have different spellings. It also calculates the distance between postcodes to give a proximity match.
The database generates a set of matches with a score. Matches with a high score are good and those with a low score are likely to be poor.
The interface also aids the user by clearly showing which parts of the record are the same. Matching parts are shown in green and red indicates a mismatch. This means that a user can quickly make an assessment and mark it accordingly.
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