MF Module: The Silent Hero of Night Batches addresses a problem most SAP landscapes know too well: Manual exports and forgotten file drops do not scale with transaction volume.

File jobs watch directories, rename after pickup, and alert on failure — the silent automation layer next to real-time APIs.

File jobs watch directories, rename after pickup, and alert on failure — the silent automation layer next to real-time APIs.

Capabilities you use in iDataEngine

  • Directory watch and scheduled pickup
  • Long text lists and table templates
  • SMTP corporate configuration
  • Failed mail history and resend
  • HTML, Excel, PDF attachments
  • FTP/SFTP with key auth

Recommended workflow

  1. Configure source objects, fields, mappings, or rules using session language and customer/system context.
  2. Save and capture the generated URL, job ID, or snapshot reference in your change record.
  3. Extend the same definition to the next channel (API, SQL, MF, BI) without redesigning from scratch.
  4. Open the relevant cockpit (iDataView Explorer, SQL Project, API Service Detail, or AccessGuard).

Real-world scenario (2023)

Bank statements arrive via SFTP at 03:00; MF picks up, validates, triggers processing, archives to 'processed' — treasury starts work with data, not with file hunts.

Why it matters

Mail and API together cover both human notification and machine integration — one platform, two speeds.

Your next step is a controlled pilot: Test in cockpit, save with evidence, then extend to the next channel without redesign.