The impact of measurements call for validation

The measurements you perform either in the lab or on the shop floor have great value and great impact at the same time. You can for example find out that the data you measure do not match any longer the required specifications  of the production process. A measurement with consequences. You have to be able to rely on the data of your measurements. You have to count on that the analyzer is performing the way it should be. That’s the area of validation. In essence it is about how accurate the measurement is (how close are the measurements to the true value) and how reproducible are the results (a measurements with high precision has good repeatability). Validation delivers proof that your method of analysis consequently meet the required specs.