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Data matching

A single customer view is essential for any data-driven business.
Our data matching software will help you get there.

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How data matching works

Our data matching software quickly identifies and removes duplicates from your database by finding connections between data elements, such as names and addresses. A powerful matching engine identifies linked or similar records that contain keyboard errors, missing words, extra words, nicknames, or multicultural name variations.

Fuzzy matching and multicultural intelligence allows us to find similarities within personal and business data sets. And, unlike other products that look for exact matches, we use multiple search algorithms in order to find the most matches possible—regardless of exact spelling or sequencing.

Technical information

Data matching software from Experian Data Quality offers industry-leading speed, reliability, and it is easy to implement. Its robust architecture allows for customization of matching criteria, searching techniques, integration approaches, phonetic algorithms, rule sets and more.

  • Integration into your applications and databases to instantly determine if a new record is a duplicate through the use of fuzzy searching and phonetic matching functionality
  • Fast performance batch-processing engine that is used for duplicate identification and merge/purge operations
  • Name and address matching for business and consumer records

Benefits of Data Matching

When it comes to reaching your customers, every interaction counts. With data matching, you can discover intelligent links between your customer records, identify and remove duplicates, and suppress records you cannot use. With a better view of your customers, you’ll connect with them more efficiently.

What our customers say

The demo showcased the product’s superior performance for accuracy and processing speed over our current search-match product.

Kok Chuan Koh - Programmer analyst, University of North Texas

Did you know...

of organizations have seen some improvement in linking different databases by improving data quality

of companies don’t have a single customer view today

of businesses believe inaccurate data is undermining their ability to provide an excellent customer experience

of organizations say that they rely on educated guesses or gut feelings to make decisions based on their data

*Source: 2017 global data management benchmark report


Want more information on data matching and deduplication? Check out these resources.

Features of Data Matching

  • Identifies the most possible matches through fuzzy and phonetic recognition
  • Cleanses and de-duplicates name, address, phone number, email, or other identifiers 
  • Standardizes data from disparate sources with various formatting
  • Integrates into applications and databases to determine if new records are duplicates

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