Data Validation


Are you considering buying a company? One of the most difficult factors to assess is the extent of data challenges you would face right after making the purchase, as you either migrate the company’s data to your main system or normalize it in your central data mart.

It’s often tricky to get a sense of what state a company’s data is in. it could be full of errors and duplicate entries that would complicate migration. Or, it may be largely clean– but with names, dates, and other entities spelled and formatted differently from your own standards.

With RecordLinker, you can easily validate input data using our machine learning-based normalization logic. Just upload a sample of the new data, and our system will not only show you how well it matches with your canonical record set, but also let you know what percentage of the errors it finds can be corrected automatically.

If you find out that machine learning can normalize 74% of the data, you know you’ll have a lot less manual work to do than if that number were 32%.

This is crucial insight if you’re looking to make a thoughtful, fully informed decision. And if you decide to go ahead and take the plunge, you’ll have the advantage of being one step closer to a successful conversion, since you will already have normalized a portion of the new data.

Don’t let uncertainty over data quality hold you back from what could be a fantastic acquisition. At the same time, make sure you aren’t biting off more than you can chew. Get in touch with us to learn more about how we can help with your next steps.

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