Bi-Directional Planning Data Exchange Between EPM and ERP

When planning data exchange becomes bi-directional, complexity increases fast. You are not only loading actuals into planning; you are also pushing approved forecasts, workforce assumptions, and CAPEX outcomes back into downstream systems.

If this is not designed as a controlled integration product, period-end operations degrade under volume.

Integration profile

Bi-directional means both systems are authoritative for different objects. That boundary must be explicit in the contract.

Canonical data contract before any mapping

Define one canonical payload model for all planning exchanges. No direct source-to-target custom mapping per interface.

This makes each run deterministic and recoverable.

Delta extraction strategy for high-volume periods

Use watermark-based extraction with immutable run manifests. Avoid full refresh during close windows.

1-- Incremental extraction from ERP staging view2select3  doc_id,4  line_id,5  fiscal_period,6  scenario,7  entity,8  account,9  amount,10  currency,11  source_last_updated_at12from erp_planning_export_v13where source_last_updated_at > :watermark_start14  and source_last_updated_at <= :watermark_end15  and fiscal_year = :target_year;

Every extraction writes a manifest row:

1{2  "load_id": "97f6d79d-2e14-4f5f-97a8-58f3d2851f61",3  "window_start": "2026-03-02T00:00:00Z",4  "window_end": "2026-03-02T01:00:00Z",5  "record_count": 842391,6  "hash": "sha256:1f3c...8ab2",7  "status": "published"8}

This gives replay confidence without data duplication.

End-to-end run control pattern

1. Extract delta records from authoritative source.
2. Standardize to canonical schema and attach load_id.
3. Apply dimension and currency validations.
4. Write accepted and rejected sets to separate lanes.
5. Load accepted set into EPM import tables.
6. Publish run-level reconciliation summary.
7. If any critical validation fails, mark run blocked and stop downstream

publish.

Use hard stops for control failures. Use soft warnings for non-material variance that is still traceable.

Publish-back pattern from EPM to ERP

For outbound planning numbers, publish only approved slices.

Do not push analyst working versions. Only publish governance-approved intersections.

Reconciliation design that auditors can actually use

Three reconciliation levels are required:

1. Record-level: source doc and line traceability.
2. Intersection-level: period x scenario x entity x account totals.
3. Run-level: source extracted vs accepted vs rejected vs loaded.

Example run-level checkpoint:

1Run: 97f6d79d-2e14-4f5f-97a8-58f3d2851f612Extracted: 842,3913Accepted: 839,9554Rejected: 2,4365Loaded to EPM: 839,9556Variance to Source Amount: 0.00007Status: PASS

Failure handling and restart strategy

Restart should be explicit, not manual improvisation.

• Use idempotent keys: load_id + source_record_key.
• Keep rejected records in a quarantine table.
• Reprocess only corrected rejects, not full historical windows.
• Archive manifests and reconciliation outputs for each run.

This is the difference between "integration works most of the time" and "integration is operationally reliable."

What to measure after go-live

A bi-directional planning integration should be treated like production infrastructure, not a one-time project artifact.