Data Integrity

Confidence, reliability, and trust in your people, processes, and data.

Data Integrity refers to the overall completeness, accuracy, and consistency of data and processes during its entire life cycle. Though this seems simple, the whole process of genuinely generating, maintaining and transforming data with completeness and accuracy is a challenging task for any organization.

Data Integrity addresses the “life cycle of data”. This includes the steps involved in setting up and running the analyses as well as managing the data that is collected, both raw chromatographic data but more importantly through the cycle of processing, interpreting, reviewing, reporting managing that data. So it is not only a concern about how to store data, as the generation through analytical experiments is equally as important.

 

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