The creation of precise and adaptable metrics remains crucial for successful monitoring, auditing, and reporting in present-day data-centric settings. This article describes an optimized method to create metrics and dynamic SQL with metadata-based techniques using Oracle packages. This process combines configuration tables, dynamic SQL templates, and merge operations to create a metrics generation framework that scales well and remains easy to maintain and adjust. 

Background 

The process is built around an audit package and a set of Data Definition Language (DDL) statements that define critical tables for storing audit facts, dynamic SQL templates, and metric results.