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• Although automated testing techniques have been used by the software industry for decades, it is only in more recent years that automated computer system validation has become a viable option for regulated environments.

• Validation can be performed for the data type, range and constraints, code and cross reference, and structure. Data validation includes validation check and the post-check action. Validation check uses computational rules to check if the data is valid and the post-check action sends feedback to enforce the validation.

• All the instructed steps are performed at all times, for all data. Automation makes everything more systematic. As the data validation process is automated, the employees can devote their time in doing work that actually uses their core skills. This saves their time which would otherwise have been spent on repetitive tasks.

Automation of data validation makes use of digital transformation technology. This is revolutionizing the way in which businesses carry out their operations. It ensures that the data has undergone data cleansing and keeps the data quality in check.

Although automated testing techniques have been used by the software industry for decades, it is only in more recent years that automated computer system validation has become a viable option for regulated environments.

Validation can be performed for the data type, range and constraints, code and cross reference, and structure. Data validation includes validation check and the post-check action. Validation check uses computational rules to check if the data is valid and the post-check action sends feedback to enforce the validation.

Validation is the process of creating an evidence trail to show that an action, process or system leads to a consistent and reproducible result. This ‘result’ is typically either taking a measurement or assessing product quality. Validation is a central part of the manufacturing process within the pharmaceutical and medical device industries.