Data Integrity: A Multifaceted Commitment of Quality
When you consider data used by companies to make decisions, its integrity — and the regular maintenance and commitment to its accuracy — is core to its intrinsic value.
Data must be precise to be useful in any productive way, and it must be accurate for the course of its lifecycle. It must be searchable, connected and recoverable. A company’s decisions on its products, whether in the pharmaceutical field or not, can’t be based on data that contains information gaps, report inconsistencies or undocumented sources.
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