How is data validation performed in Pega?

Data validation in Pega is primarily accomplished using validation rules during case processing. These validation rules are essential components that help ensure the accuracy, integrity, and completeness of the data entered into the system. They enable you to define specific criteria that need to be met for data fields, ensuring that users provide valid inputs before the data is processed or saved.

When a user submits data, Pega automatically checks the values against the predefined validation rules. If any data points fail these checks, appropriate feedback is provided to the user, allowing them to correct any errors immediately. This systematic approach to data validation not only reduces the potential for data entry errors but also enhances the reliability of the information stored within the Pega application.

Other methods mentioned—such as manual checks or relying solely on user feedback—do not provide the same level of automated efficiency and consistency. Additionally, assuming that data is always correct poses a significant risk, as it can lead to inaccuracies that may affect overall business processes. Therefore, the use of validation rules in case processing is the most effective approach for ensuring data quality in Pega applications.