Unifying Multiple ERP Systems: A Case Study on Data Migration and Integration

Abstract

This white paper will look at the merging of three mature or older ERP environments, including SAP ECC 6.0, Oracle E-Business Suite 12.2, and Microsoft Dynamics AX 2012, into an analytics-ready and governed backbone. The program established a canonical data model (Party, Location, Item, GLAccount), and created layered landing, raw, and curated areas in Snowflake using ELT via dbt and orchestration by Airflow. Kafka consumed Change data capture to provide an ongoing harmonization and idempotency upsets. Deterministic, code-set translations and code-set translations and supervised entity resolution (blocking keys, phonetic encodings, n-gram similarities and geospatial proximity)heading Data contracts, executable tests (dbt/Great Expectations), and reconciliation packs tested completeness, conformity, referential integrity, and financial invariance across environments, and RBAC/ABAC, PII masking, immutable run manifests, and segmentation of duties accounted for SOX/GDPR controls. Practiced cutover runbooks had given results of a 7.6-hour switch of production in an eight-hour service level agreement, and no severe cases. Quality after post-maturation was significantly better: mandatory-field completeness was 99.6%, field-level conformity 98.7%, and orphan rates 0.2. DC latency achieved P95 parameter goals. The PR-AUC and F1 exceeded those of a rules-plus-logistic baseline, as gradient-boosted trees and a Siamese architecture allowed matching at millisecond latency. Business outcomes were a 1.8-day time savings on month-end close, 14.6% consolidated indirect spend, 9.2% fewer stockouts, 2.7-point invoice-accuracy improvements, 6.4% faster order creation, 41% faster analytics time-to-insight, and a decrease in the deployment failure rate (7.5% to 2.1%).