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Datasheet

DataMatch Enterprise – System requirements

Inside you’ll learn:

DataMatch Enterprise™ has been designed for use on Windows-based PC systems. To get the best results, you need to match the hardware to the job in hand. For smaller jobs where performance is not an issue, we would normally recommend a standard desktop machine that will no doubt be well above the minimum requirements. For larger data sets, you should consider upgrading the hardware according to the recommendations mentioned in this datasheet. We have identified the main areas which affect the software’s performance, download this datasheet to know more!

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Customer Stories

See why others prefer Data Ladder

My favorite part of DataMatch is how easy and flexible it is to use. I can use data from virtually any data source including ODBC connections, CSV files, and JSON files. It does a great job with data cleansing making the matching process even more powerful and being able to merge rows with very flexible rules for the final export is extremely helpful. The support team is also very responsive and helpful when I run into anything I have an issue figuring out.'

Nick CorderCo-Founder and Managing Director
Nick Corder

The tool is very intuitive and easy to use. Its wizard-like interface walks you through the entire process of creating a project. The flexibility of importing and exporting data and results is also fantastic. You can create database tables for production processes or Excel spreadsheets for one-off reports very easily. The configurability of the match definitions is very helpful. You can set up multiple match definitions and have different confidence levels and weights depending on what makes sense for your use case. There are also multiple ways to automate your projects including the scheduler, the command line interface and the add-on API.

Scott FordIT Solution Architect
Scott Ford

The software is great at taking large amounts of name and addresses and quickly parses them and finds duplicate information. The speed is incredible.

Chris Campbell VP Info Tech
Chris Campbell
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Merging Data from Multiple Sources – Challenges and Solutions

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