Datawash uses sophisticated matching systems to identify the same person (or business trading name) at the same address. When name and address data is stored in a variety of lists, Datawash can examine all the lists to find names and addresses that are in more than one list.
This provides great value in matching:
- marketing/promotion lists with current accounts lists
- competition entries with existing customer details
- newly acquired data with current name and address lists
Similarly, Datawash duplicate detection will find recurring matches of names and addresses within a single list. This provides value by:
- eliminating duplicates and merging account details
- isolating people at the same address, to examine household mail duplication
English language names used to identify people are allowed flexibility that would normally be acceptable – for example ‘Bob’ is the shortened form of ‘Robert’. Similarly, Australian addresses are normalised according to AMAS addressing standards for a greater degree of matching accuracy and precision
Other factors can be added into the process such as date of birth, gender, telephone numbers and client-defined fields. For less granularity, matching can be performed at the address level only to identify individuals who use the same address.
Duplicate Name/Address records can be presented in any form, i.e. Duplicates separated, merged, or flagged.