Find and Remove Duplicate Database Records

Remove duplicate database records with the Duplicate Record Remover from Precision Data

Our duplicate finding software can examine your customer mailing database and find duplicate contact records, duplicate addresses and duplicate contacts, customers, clients, students, patients, members, subscribers, users, staff, etc...

The Duplicate Record Remover identifies duplicate contacts using our advanced fuzzy-logic algorithm which recognizes similarity between records regardless of spelling mistakes, inconsistent formatting, abbreviations, typos, or data in the wrong fields.

The result is one of the most accurate duplicate finding software tools available!

You can then remove duplicate records by merging them into a single record using our very simple-to-use Deduplication Merging Tool which shows your duplicates side by side and allows you to validate each duplicate at a glance and merge the data from two records into one.

Duplicate Record Remover - Key Features

Fuzzy Matching

The Duplicate Record Remover isn’t restricted to a dictionary search for misspellings like simular software tools, providing increased accuracy and finding duplicate records that others miss.

Highly Configurable

You can select which fields are checked, and how each field will be treated when it’s merged so no data is lost when a duplicate record is deleted.

Easy to Use Interface

The validation and merging process is completed using a very easy to use merging tool that shows matches side-by-side, allowing simple editing and merging of the records.

Multiple Output Options

The final cleaned data can be output as is, or output as a list of changes and merges made in XML, T-SQL or as a report.

Try before you buy

You can download and use a fully functioning version (limited only to examining a subset of your data) to see firsthand how easy it is to use.

The value of Deduplication and Data-Cleaning

The quality of the data within your customer database is crucial to ensure effective direct marketing activities. Find and remove your duplicate records to:

  • Avoid wasting your marketing spend on unnecessary duplicate contacts
  • Eliminate duplicate records after external data-list importing
  • Have accurate information for fully informed decision making
  • Ensure you always have a single common view of each customer
  • Avoid making costly mistakes from dirty and incomplete customer data