The Merge Machine
Automatically find matches in your files using our simple point and click interface in only a few minutes
Start Linking Tutorial
Hard Record Matching Made Easy
In the new world of big data, more and more information are available to work with. Unfortunatly many companies and administrations still have to deal with un-normalised data from legacy systems or from free-form user inputs. Connecting data sets and figuring out who is who (companies, people, products...) can be a daunting and very time consuming task.
The Merge Machine allows you to link tabular data (companies, names, products, etc.) using very-fuzzy-matching strategies. Instead of spending hours coding custom data linkers or doing this manually, you can now link your files in a few minutes using our simple no-coding-skills-required online interface. Try it out for free!
Five simple steps
Fix the most broken data!
Real-world data can be full of typos, inconsistencies, and missing values. The Merge Machine overcomes these challenges and finds the best matches.
Typos and formatting
We can match:
- - The Coca Cola Company | Atlanta | Georgia
- - CoKe Cola Company | Atlanta | Georgia
- - Coca Cola | Atlantaa | Georgia
- - the coca-cola comp | Atlanta | Georgia
Inconsistencies
We can match:
- - The Coca Cola Company | Atlanta | Georgia
- - Coca Cola Company | Atlanta | Nevada
- - The Coca Cola Comp | Georgia | Georgia
Missing values
We can match:
- - The Coca Cola Company | Atlanta | Georgia
- - CoKe Cola Company | ____ | Georgia
- - Coca Cola | Atlanta | ____
Match with our public data catalogue
Upload your own reference datasets or chose one from our catalogue of public data reference files...
