Having data in different places can make decision-making tricky. In process validation, for example, you might be studying a specific manufacturing process. You'll need to look at various factors. Data about which materials might fail to seal correctly could be in one location. Meanwhile, information about the packaging's size and requirements might be somewhere else. Then, there might be another document that talks about the risks if the seal fails.

The big challenge for anyone working in validation is to design studies that take into account all these different elements: the materials, the packaging, and the risks. Running tests for every possible combination would be too expensive and time-consuming. That's where data analysis comes in. It helps you pick a smaller set of tests that still give you reliable results.

Ready to unlock the full potential of your data in process validation? Contact Brayearst Validation Consulting today and take the first step toward optimal outcomes.