Privacy
Production data may contain personal or confidential information. Each use is assessed to determine where synthetic data is more appropriate.
SKYPhoenix Tools
Build reproducible SAP test data with data minimisation in mind
The SAP Test Data Generator is in release preparation. It is intended for synthetic, reproducible data in prioritised SAP scenarios.
In this section SAP Test Data Generator
Status
In development
Supported modules, data objects, interfaces and privacy requirements are assessed for each use.
Problem space
Test data as part of test architecture
Dependencies
SAP data objects have business and technical relationships that must be reflected in rules and templates.
Reproducibility
Defined starting data supports repeatable testing and traceable diagnosis.
Provisioning
Generation, approval and reset require clear roles and controlled interfaces.
Concept components
Rules, templates and technical handovers
Data templates
Templates describe required fields, relationships and permitted variants for a test case.
Business rules
Plausibility conditions and dependencies are modelled explicitly and checked with examples.
API or defined import
Provisioning is adapted to approved interfaces in the target environment.
Seed and version
Where technically supported, documented parameters allow repeated generation.
Introduction
Begin with one concrete process
Select a scenario
A relevant and technically bounded scenario is described with data needs and success criteria.
Validate the model
Objects, relationships, rules and the provisioning path are reviewed together.
Assess value and limitations
Data quality, reproducibility, operating effort and residual risks are documented.
Which SAP scenario needs better test data?
We assess data objects, rules, privacy and a bounded first use.