Before USDA's Office of the Chief Financial Officer could move its financial backbone to the cloud, someone had to make sense of decades of vendor and customer data. The move from SAP ECC to a modern cloud S/4HANA environment meant consolidating more than 20 million vendor records and 300,000 customer records into a new Business Partner data model. Years of accumulated entries were inconsistent, conflicting, and full of duplicates. Migrated as-is, that data would quietly break downstream workflows and integrations. The migration also touched 11 of 15 interconnected systems, all of which had to keep running through cutover.
BluJuniper took on the data cleansing and consolidation methodically, resolving conflicts and merging duplicates in a controlled test environment before anything reached production. We defined the functional and business requirements so every migrated record came through complete and every workflow stayed accurate. Use-case and regression testing confirmed the new Business Partner records would not break existing functionality or integrations. We also developed release, deployment, and backout procedures to de-risk the cutover.
Technology & Methods Used
SAP ECC, SAP S/4HANA, Business Partner data model, data cleansing and de-duplication, regression and use-case testing, release and backout procedures
About the Client
The client is the U.S. Department of Agriculture's Office of the Chief Financial Officer, responsible for the financial systems and data that underpin the department's accounting operations.
Industry
Federal Government, Financial Management
Outcomes at a Glance
20M+ Vendor and 300K Customer Records Cleansed
11 Interconnected Systems Kept Running
Business Problem
- Massive Data Consolidation: The SAP ECC to cloud S/4HANA move required consolidating more than 20 million vendor records and 300,000 customer records into a new Business Partner model.
- Legacy Data Quality: Years of records held inconsistent, conflicting, and duplicate entries that could break downstream workflows if migrated as-is.
- Interconnected Systems: The migration touched 11 of 15 interconnected systems, all of which had to keep functioning through cutover.
Solution Approach
- Systematic Cleansing: Cleansed and consolidated vendor and customer records, resolving conflicts and merging duplicates in a controlled test environment before production.
- Requirements Definition: Defined functional and business requirements so every migrated record was complete and every workflow stayed accurate.
- Regression Assurance: Built use-case and regression testing to confirm new Business Partner records did not break existing functionality or integrations.
- De-Risked Cutover: Developed release, deployment, and backout procedures for the production migration.
Value Delivered
BluJuniper cleansed and consolidated more than 20 million vendor records and 300,000 customer records ahead of the migration. We delivered tested, verified data and workflows across 11 interconnected financial systems, protecting the continuity of USDA's financial operations.
The planning, quality assurance, and backout framework we built became the model USDA used to de-risk the broader S/4HANA cutover. A high-risk data problem turned into a controlled, repeatable process.
Where This Fits in North*Star©
Data Governance & ML Ops
This embodies the Data Governance discipline. BluJuniper delivered trusted, tested data and a repeatable quality-assurance framework that de-risked a major cloud ERP migration across interconnected systems.