As is well known, name and address data from various external sources, such as paper forms and phone (voice calls); are exposed to a myriad of distortions, even as they enter the databases in an electronic form. Phonetic similarity is one among a plethora of possible transformations that impact these distortions. Sequence variations, abbreviations, and subtle changes in numeric characterizations, graphical similarities in English characters, and a variety of 'noise' data in addresses, make the problem of searching 'inexactly matched', "Name-Address" pairs, a challenge.

The ability to cluster and produce 360-degree profiles for an individual, drawing inexactly matched records for the individual, from several sources provides additional value.

De-duplication is a continual process, and needs to be pursued with cleansing negative and positive lists, standardizing addresses even as they enter the system. Cleansing address data is a critical activity, since these data entities impact outward marketing and CRM activities.

Our deduping solution - XID - offers features to cleanse, de-dupe, build 360-degree profiles, and obtain household-level clusters. The solution is state-of-the-art, can grow with load, and is fully aligned with a pioneering, technology-driven vision.

XID is a powerful software tool developed by The Analytix Division to extract and analyze identities represented by names and addresses. Based on cutting edge search technology, XID provides an integrated environment for acquiring data from remote databases, creating a local data mart, and applying innovative and powerful algorithms to search inexact matches in names and addresses.