Baan LN → SAP (HANA) migration, daily/weekly deltas, warehouse integrity controls



Note: This case study reflects our delivery experience as part of the ThoughtFocus program and uses public context only. No confidential information is disclosed.

Summary

As part of the ThoughtFocus Technologies LLC (USA) program, our team engineered the Baan LN → SAP (HANA) data migration for Bucyrus International during its acquisition by Caterpillar (completion July 8, 2011). We built repeatable ETL pipelines and APIs, maintained daily/weekly delta refreshes across global warehouses, and safeguarded data integrity until SAP go‑live.

The Companies (public background)

  • Bucyrus International — U.S. mining equipment OEM; 2010 sales (turnover): US$3.65 billion (audited).
  • Caterpillar × Bucyrus — acquisition completed July 8, 2011; announced value ~$8.6–$8.8 billion including net debt.
  • ThoughtFocus Technologies LLC — U.S.-based IT consulting and digital engineering firm; SAP/HANA services with global delivery.

Business Context

  • Consolidation into Caterpillar’s SAP landscape while preserving operational continuity across plants, depots, and multi‑warehouse distribution.
  • Source ERP: Baan LN (Infor LN lineage). Target: SAP on HANA.
  • Reconciliation of organization‑system data with physical stock for internal/external controls.

Key Challenges

  • Heterogeneous data structures in Baan LN (items, BOMs, routings, open orders, serial/lot histories, warehouse balances).
  • Time‑boxed migration windows tied to cutover and quarter‑end closes.
  • High data freshness: daily/weekly delta replenishment until SAP go‑live.
  • Multi‑warehouse integrity: match warehouse‑level balances and movements to physical counts.
  • Parallel run constraints: certain features temporarily remained in Baan, requiring controlled coexistence.

Our Role (within the ThoughtFocus program)

  • Baan extraction & canonicalization — repeatable ETL jobs for masters, open items, and historical movements to a SAP‑readable staging schema.
  • APIs & handshakes — REST/flat‑file packages with checksum/row‑count reconciliations for SAP load programs.
  • Delta refresh cadence — daily/weekly refresh cycles from Baan → staging → SAP to maintain cutover freshness.
  • Warehouse integrity — control reports (stock by plant/warehouse/bin, movement mismatches, negatives) reconciled to physical counts.
  • Governance — data sign‑off with business, DQ KPIs (completeness, accuracy, validity), and audit trails for migration sign‑offs.

Solution Design (high level)

    Scope:
  • Masters: Material, Plant/Warehouse, Vendor, Customer, BOM, Routing, GL mappings.
  • Open/transactional: Open POs/SOs, production orders, reservations, open deliveries, on‑hand balances by warehouse/bin, serial/lot master/history.
  • Pipelines:
  • Extract (Baan LN): view/program exports with change‑capture keys; timezone‑aware timestamps.
  • Transform: field mapping to SAP; UoM normalization; valuation/batch flags; referential integrity enforcement.
  • Load (SAP): IDoc/BAPI/LSMW/HANA loaders; post‑load validation scripts.
  • Controls & Reconciliation:
  • Row‑count and hash checks; trial loads → performance tuning → refreshed mocks.
  • Warehouse balance tie‑outs to physical stock; exception workflow for variances.
  • Cutover checklist: freeze window, last‑good extract, final delta, post‑load reconciliation, business sign‑off.
  • Coexistence:
  • Where selected features remained in Baan during transition, implemented synchronization fences/read‑only snapshots to prevent drift.

Returns & Damaged Goods (RMA)

  • RMA number tied to customer return; reason codes, photos, and quarantine location assignment.
  • Maker‑checker approvals for any status change from quarantine.
  • Disposition workflows: Scrap / Salvage / RTV with mandatory evidence and GL‑mapped reason codes.
  • Hard blocks prevent quarantined stock from being picked/allocated as saleable.

Outcomes

  • SAP‑ready data across plants and warehouses with traceable lineage from Baan extracts to SAP load IDs.
  • Operational continuity via daily/weekly deltas until go‑live, minimizing dual entry and rework.
  • Audit readiness: reconciliation packs (row counts, hash totals, exception logs, sign‑offs).
  • Warehouse integrity: organization system data aligned to physical stock during and after cutover.
  • Reusable patterns for future Infor LN → SAP migrations.

Association & Credits

  • Client: Bucyrus International (acquired by Caterpillar).
  • Prime partner: ThoughtFocus Technologies LLC (USA).
  • Our role: Data migration engineering and warehouse integrity controls within the ThoughtFocus delivery team.

Public References (context only)

Bucyrus 2010 sales results (press/filings); Caterpillar acquisition completion release (July 8, 2011); ThoughtFocus website (SAP/HANA services).

Disclaimer

This case study is based on our team’s delivery experience supporting ThoughtFocus. Public financials and acquisition facts are cited; client‑confidential details are not disclosed. Names and trademarks belong to their respective owners.