Data Integrity | Good Document Practice | GDP | Data Integrity Training

Data integrity refers to the accuracy and consistency (validity) of data over its lifecycle. Compromised data, after all, is of little use to enterprises, not to mention the dangers presented by sensitive data loss. For this reason, maintaining data integrity is a core focus of many enterprise security solutions.
Data integrity can be compromised in several ways. Each time data is replicated or transferred, it should remain intact and unaltered between updates. Error checking methods and validation procedures are typically relied on to ensure the integrity of data that is transferred or reproduced without the intention of alteration.

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[@Kumar_Amit_01]

Which unit

[@Kumar_Amit_01]

Which unit of Lupin

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