Data rules, rule sets, and metrics in a data quality monitoring environment are typically targeted at production data, which requires more explicit control over tasks, such as definition and change.
Typically, design, development, and initial testing occur in a non-production environment, with actual production data quality monitoring occurring in a separate production environment. The same approach can be utilized to share objects between two distinct IBM® InfoSphere® Information Analyzer environments.