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Searching for Identity - the Precise Matching of Data
Accurate, reliable and quick identity searching together with precise matching, duplicate discovery and relationship linking are basic issues for numerous IT operations.
Anyone who has looked up a common name in a phone list knows there are many variations on that name:
Which entries do the same people refer to? Which not?
This issue is even more pressing and harder to solve, and presents itself whenever database professionals have to cleanse and match attributes such as names, addresses etc. in order to produce a reliable DB with regard to the amount of entities therein. Further and especially, a DB without duplicity, allowing for identity resolution of the names it contains.
Sectors dealing with security or compliance with international standards such as Sox and Basel 1, as well as credit card companies, or just those companies wishing to become more effective in providing services to their potential market: they all know the need to resolve identity in their databases.
Technically, this is an almost impossible job to be handled through known systems that cannot identify deliberate (or non-deliberate) errors in data entry, spelling variations, language variations and character exchange.
Those identities are subject to extreme and uncommon variations.
Existing techniques of searching and indexing that rely on clean, complete data find serious obstacles with data that are almost always incomplete and often unpredictable - such as exchanging the sequence of names and surnames. Accurate, reliable and quick identity searching together with precise matching, duplicate discovery and relationship linking are basic issues for numerous IT operations.
The search for identity is a complex one and demands sophisticated tools and techniques that can address those issues.
The PHD Brasil Matching Solution
Faithful to the company's unique character as a devoted provider of Business-Ready Data Management and Utilization solutions, PHD Brasil offers a high technology solution that is already being used in Brazil with remarkable results, including success cases at Serasa, Bradesco and Equifax.
Using fuzzy logic technology, this solution allows "similar" names to be pointed out together with the properly determined likelihood of matching, thus indicating where multiplicity exists and showing the true identity of each name.
Direct Benefits of PHD Brasil Matching
Removes diversified treatment of a single entity - variations in the data are identified and utilized in accordance with real business needs. Preserves performance even under extreme conditions involving large volumes of data. Finds all valid entities without generating false matches. Adds intelligence and quality in the search for critical identification data and matching applications. Solutions for mainframe, Unix and Win 32 servers. Licensed for use within customized applications and/or OEM software. Algorithms satisfying the highest reliability. Highly scalable and capable of handling extreme volumes of data. Integrates easily into preexisting systems or new systems. Independent platform. Flexible architecture supports languages from all countries. Provides high quality results with either formatted or unformatted data. Resolves consistency errors such as spelling, typing and phonetic errors and other variations. Allows companies to manage customer relationship in a more efficient and safer way. Allows companies to minimize all risks associated with poor-quality identity matching. Improves the quality of addresses and thus also the delivery of mail and direct mail.
Customers all over the world
In a partnership with Identity Systems [Inseir link: PHD Partners.] - a subsidiary of Nokia - PHD Brasil's matching solution already is adopted by international organizations in the USA, Europe and Asia in more than 500 operations, comprising over 11 Terabytes of data, matching 2.6 billion names, addresses and other record fields with fraction-of-second answers.
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