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.
Our matching solutions are as follows:
Integrate our deduplication API into your website or applications. As a new record is created, our matching solution instantly determines whether it is a duplicate.
Our online batch service allows you to clean your list on a regular basis or as often as you require by searching for name matches and duplicates.
Our easy-to-use data management software includes Experian Match as a workflow step that can be used as part of any data quality initiative.
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.