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%.
