Analysis of actual production data
A project starts with in-depth analysis of productive transaction patterns on both inbound and outbound sides to capture current system usage.
System Migration
Complexity, migrated. Risk, deleted.
Many WMS, TMS or ERP system migrations fail because of transactional data flaws. CargoGear Preemptive QA makes sure inbound and outbound streams are processed like before so you can go live with confidence.
Discover undocumented interface logic at the system periphery.
Find out “who got what?” from the existing data streams.
Compare new documents with the requirements of the legacy system.
The Problem
Real-world data flows systematically deviate from documented target processes. Unidentified errors force costly last-minute changes and risky hotfixes during the critical phase. Without data-driven validation, there is a risk of unstable processes and costly delays in the cutover.
The Solution
CargoGear Preemptive QA analyzes your real production data to identify the applied logic in detail and per partner. The result: A test case library containing every legacy event type and data pattern. With the variance analysis feature you can even compare content between different data formats.
De-risking system migrations
Structured, evidence-driven validation from baseline analysis to go-live and beyond.
Identification of unknown logic
Based on the analysis, we uncover process variations and legacy patterns that developed over time and are often overlooked in standard tests.
Before-and-after comparison
Systematic and automated comparison of critical data flows before and after migration provides additional support for governance and go-live approvals.
Optional post-go-live quality gate
Preemptive QA does not require tool implementation at the customer site. Validation tools can still be used as a data-quality layer after go-live to support operational excellence.
Solutions by role
Different teams, different challenges. One solution that fits each need.
Keep the risk at bay
Complement traditional QA methods by checks against actual, historic transaction patterns for a full overview of what to consider.
Learn in the beginning of the project about the unknown, undocumented legacy logic at the interface with non-SAP systems. No surprises after go live.
Get an early warning system for potential migration risks. You can decide which topic should be a priority and assess its impact before it is too late.
From source reality to go-live confidence
A structured three-lane model connecting baseline systems, validation phases, and measurable outcomes.
Existing Legacy Infrastructure
Phase 1
Historical data flow evaluation
Phase 1 Output
Insights into data volume, process variants, and critical risks
Connected External Systems
Phase 2
Definition of validation rules and test scenarios
Phase 2 Output
Comprehensive test case library and target system test data
New System Environment
Phase 3
Comparative analysis of pre & post migration data streams
Phase 3 Output
Go-Live authorization basis and variance assessment: Old vs. New
Ready to turn data quality into your competitive advantage?
Put an end to garbage-in-garbage-out and schedule a call with our experts.