SwiftDedupe2018-08-31T09:35:47+00:00

SwiftDeDupe

Deduplication Software

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Swift Dedupe

SwiftDeDupe

Deduplication Software

Swift Dedupe
Request Demo

Find out more about deduplication and data processing automation

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Request a demo of SwiftDedupe

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High Speed, Accurate Deduplication

Sending duplicate marketing communications to clients and prospects is both financially wasteful and damaging to the reputation of the sender. SwiftDedupe benefits from over 20 years development of fuzzy logic matching algorithms to ensure the highest levels of duplicate record matching while offering control over matching criteria. Automated via the command line or operated using the intuitive graphical user interface users can input and prioritise multiple files, match based on individual, family or address and define how strict the matches should be. Output consolidated files and duplicates in various configurations for further processing or central updates.

High Speed, Accurate Deduplication

Sending duplicate marketing communications to clients and prospects is both financially wasteful and damaging to the reputation of the sender. SwiftDedupe benefits from over 20 years development of fuzzy logic matching algorithms to ensure the highest levels of duplicate record matching while offering control over matching criteria. Automated via the command line or operated using the intuitive graphical user interface users can input and prioritise multiple files, match based on individual, family or address and define how strict the matches should be. Output consolidated files and duplicates in various configurations for further processing or central updates.

Enterprise grade deduplication features

Fast Deduplication

The efficient deduplication engine identifies and consolidates hundreds of thousands of records across multiple input files in minutes.

Fuzzy Matching

With over 20 years in development, The Software Bureau’s proprietary matching engine provides accurate and configurable duplicate matches.

Prioritise Files

Input any number of source files and define a priority sequence to ensure the most accurate or up to date data takes precedence.

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