Data Testing


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Data Testing | Improving your BI and Data Science 

It's time to talk about the "Elephant in the Room": data is the "fuel" of enterprises (that's right), but what if this data is not accurate?

According to Gartner, the average financial cost of poor data is $15 M. From lost data to inaccurate data. It becomes a do-or-die in ensuring data quality.

And because for every problem there's a solution, we present to you our BI Testing solution, a testing process completely adaptable to the type of data each company requires and which reduces the UAT process by 50%.

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