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Data Matching

Make smarter decisions and build a single customer view that allows you to make every interaction count. With data matching from Experian Data Quality, you can discover intelligent links between your customer records, identify and remove duplicates, and suppress records you cannot use.

How Data Matching works

By finding connections between data elements, such as name and address, our data matching software quickly removes all duplicates from your database. It has a powerful matching engine that identifies linked or similar records that contain keyboard errors, missing words, extra words, nicknames or multicultural name variations.

Experian Data Quality’s data matching software uses fuzzy matching and multicultural intelligence to find similarities within personal and business data sets. 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 ease of use. With the ability to provide fast and accurate matches on multiple fields within a database, this deduplication solution was built with its end users in mind. 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

By utilizing duplicate identification software, you can better consolidate records for performance efficiency, enhanced business intelligence and improved database integrity. Without data consolidation, customer information is spread across multiple records, dividing intelligence and making it challenging to produce meaningful connections with consumers across channels. Creating a single customer view is a key step for any data-driven business.

Did you know...

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

of financial institutions believe increasing regulations have driven their need for better data analytics and management 

of marketers feel driven to turn data into insight 

of marketers want to achieve a single customer view to increase customer retention, increase revenue, and strategic decision making

*Source: Global Data Quality Research 2016


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

Features of Data Matching

  • Identification of the most possible matches through fuzzy and phonetic recognition
  • Standardization of data from disparate sources with various formatting
  • Cleansing and deduplication on name, address, phone number, email or other identifiers
  • Extremely adaptable and customizable solution
  • Help from Experian Data Quality with analyzing your results

What our customers say

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

University of North Texas

Kok Chuan Koh Programmer analyst, University of North Texas

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