What Good CPA Findings Look Like addresses a problem most SAP landscapes know too well: Undetected ABAP anti-patterns become multi-hour jobs and emergency transports.

Performance bottlenecks, unsafe patterns, and quality issues surface before they become production incidents — linked from scan detail to analysis screens.

Performance bottlenecks, unsafe patterns, and quality issues surface before they become production incidents — linked from scan detail to analysis screens.

Capabilities you use in iDataEngine

  • Schedule overlap prevention
  • Deep-link to source line
  • Quality gates before promote
  • CPA ↔ Scanner integration
  • Export findings to Excel
  • Finding severity and ignore-list

Recommended workflow

  1. Extend the same definition to the next channel (API, SQL, MF, BI) without redesigning from scratch.
  2. Run Test (iDataView Test, SQL First Row, API Test Service, or AG scan) before scheduling or publishing.
  3. Save and capture the generated URL, job ID, or snapshot reference in your change record.
  4. Configure source objects, fields, mappings, or rules using session language and customer/system context.

Real-world scenario (2024)

Source Scanner inventories new Enhancement spots; CPA ranks severity so the team fixes top ten before go-live.

Why it matters

Performance debt in ABAP becomes outage debt in month-end. CPA finds hot paths and unsafe patterns while change is still cheap — before the job runs ten hours instead of one.

Innovation here means business sees results faster — IT keeps control because every step is configured, tested, and monitored.