Data-quality management focuses on checking data for the following:

    *  Invalid technical data formats — Invalid or unrecognized date formats or fields with numeric values that actually contain letters or special characters.

    *  Invalid values — Data fields with values out of the range of admissible values according to the definition of the InfoObject.

    *  Missing information — Data fields that do not have a value or have an initial value.

    *  Referential integrity — Data fields with a reference to another data record that cannot be resolved (for example, a customer number that cannot be found in the customer master).

    *  Plausibility — For example, a birth date more than 120 years ago in your current customer master.