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.
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.
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.
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.
of companies use their data in a strategic way for business intelligence / analytics
encounter problems when trying to generate meaningful business intelligence
say they cannot consolidate data across channels
of companies manage their data quality strategy centrally through a single source