How a Global EV Battery Manufacturer Automated Testing for Millions of Data Points in Its SAP S/4HANA Migration

Digital Transformation Challenge for a Global Battery Manufacturer

A leading global supplier of electric vehicle (EV) batteries, Company A provides products to top automakers including Tesla, Volkswagen, GM, and Hyundai. With tens of thousands of employees and production facilities worldwide, the company generates annual revenue in the tens of billions.

To enhance global competitiveness and operational agility, the company initiated a multi-year migration from SAP ECC to S/4HANA. This large-scale digital transformation spanned multiple subsidiaries and international operations, presenting unique challenges across data validation and system integration.

Project Challenges

Massive Data Validation Complexity

Company A faced unique challenges during the migration process:

• Managing and migrating data for hundreds of thousands of battery components and raw materials records

• Needing to transfer millions of production and quality control records

• Requirements for perfect traceability - even small errors in battery quality could lead to major incidents

Traditional manual testing methods could not scale to this level.
The data conversion challenges in this project reflect common SAP migration failure patterns — from BP Role errors to condition master misalignment — that most enterprises face.
Validating all data points manually would require thousands of hours of manpower and effort.

Challenges with Integration Tests

A major obstacle was testing the SAP system in conjunction with various external platforms:

• Manufacturing Execution Systems (MES)

• Supply Chain Management (SCM) solutions

• Quality Management and other business-critical systems

Creating realistic test data was difficult, as critical records like Work Orders (W/O), Purchase Orders (P/O), Sales Orders (S/O), and financial documents were generated through these integrations.

Unique Challenges in the Battery Industry

Unlike general manufacturing, the battery industry has unique and stringent requirements:

• Extreme Quality Control: Even a single defect can lead to serious safety issues like vehicle fires

• Complete Traceability: All production processes and quality test results for every battery cell must be tracked for over 10 years

• Complex Chemical Properties: Management of all manufacturing environmental data including monitoring of temperature, humidity, and chemical conditions

• Global Regulatory Compliance: Varying safety certifications and regulatory requirements by country

Innovative Test Automation Solution with PerfecTwin

To address these challenges, Company A introduced PerfecTwin, a test automation solution specialized for SAP environments.

Company A’s QA manager quoted:

"Through PerfecTwin, we discovered various errors that would have been impossible to find through manual testing among hundreds of thousands of battery cell data points,"

PerfecTwin’s automated testing played a critical role in reducing project risks by uncovering data and interface errors before go-live

Real Data-Driven Testing at Scale

PerfecTwin enabled mass data-based automated testing:

• Millions of MES records from several months of daily production data cycles

• Over a million work order spanning all production processes and product families

• Extensive inventory data across diverse product lines

Testing based on real data allowed for precise validation beyond the limits of manual work.

External System Integration Testing

PerfecTwin also facilitated robust integration testing:

• Support the testing of 10+ connected systems including production, logistics, SCM, procurement, finance, and HR

• Validated SAP inbound/outbound data accuracy

• Reduced the cost and complexity of test environment setup

Driving Results: Detecting Hidden Errors and Mitigating Risk

The introduction of test automation was a decisive success factor in Company A's SAP migration project.

One particularly notable finding was the discovery of subtle data conversion errors that only appeared under specific conditions.

Key Error Types Detected Using PerfecTwin

1. Data Migration Errors

• Attribute mismatches in battery cell master data

• Incomplete BOM hierarchy information

• Cost data inconsistencies

2. Business Logic Differences

• Inconsistencies in battery traceability code logic

• Changes in quality data processing between ECC and S/4HANA

3. Interface Timing Issues

• MES data synchronization mismatches

• Race conditions in mass order processing

• Data transfer delays between global sites

Key Achievements of Test Automation Implementation

By implementing PerfecTwin, Company A achieved transformational outcomes:

• Test Coverage: Increased from 30% to 99.9% (based on data variety)

• Testing Time: Reduced by 95% compared to manual testing

• Hidden Error Detection: Dozens of critical defects discovered in advance

• External System Integration: Testing support for more than 10 external systems

Conclusion: A New Standard for Large-Scale Data Migration

Company A’s SAP S/4HANA migration highlights the critical role of test automation in manufacturing—particularly in high-precision, high-traceability industries like battery production.

By leveraging real operational data and validating integration with more than 10 external systems, this project set a new standard for large-scale ERP migrations.

PerfecTwin's backend direct transmission method enabled testing at this scale — processing millions of records in hours rather than weeks.

As global manufacturers accelerate their digital transformation, Company A's case demonstrate how test automation tools like PerfecTwin, can be a strategic enabler—bringing automation, accuracy, and assurance to ERP modernization efforts