By finding connections between data elements, such as name and address, our data matching software can find all duplicates in your database. The powerful matching engine can identify linked or similar records taking into account issues such as keyboard errors, missing words or letters, extra words or letters, nicknames and multicultural name variations.
Experian’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.
Experian Match 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 customisation of matching criteria, searching techniques, integration approaches, phonetic algorithms, rule sets and more.
By using duplicate identification software, you can consolidate your customer records for performance efficiency, enhanced business intelligence and improved database integrity. Without data harmonisation, customer information is spread across multiple records, dividing intelligence and insight, making it challenging to produce meaningful connections with your consumers across channels.
Creating a Single Customer View (SCV) and achieving greater customer insight is a key step for any data-driven business.
We explore how organisations can turn their data into useful information, unlocking its value, and delivering outcomes for their customers through a Universal Customer View.
Explore how a Single Customer View can drive your data initiatives forward by helping you achieve greater customer insight.