SAP Test Data Management
Developers need realistic datasets for testing without exposing private customer information. We slice and mask production SAP tables to create secure, compact developer databases while maintaining referential integrity.
Functional Highlights
Developers need realistic datasets for testing without exposing private customer information. We slice and mask production SAP tables to create secure, compact developer databases while maintaining referential integrity.
Referentially Intact Slicing
Extract a complete transaction history slice (e.g., specific company codes or time ranges) while maintaining full foreign-key structures.
Deterministic PII Masking
Anonymize or scramble credit card records, tax details, employee data, and customer identities deterministically.
Dynamic Sandbox Refreshing
Automate sandbox restores from updated production baselines via CLI scripts, slashing server storage costs.
Technical Design & Implementation
How our seasoned SAP Data Architects ensure high performance, security, and schema alignment.
Metadata Relationship Mapping
Maps complex foreign key relationships across hundreds of SAP tables to ensure data consistency during slicing.
In-Flight Anonymization Engine
Applies masking rules (scrambling, padding, tokenization) during the extraction process so sensitive data never hits dev disks.
Automation Orchestration
Connects with database backup and virtualization utilities to spin up fresh clones on-demand.
Value Deliverables & ROI
Ensuring strategic alignment, cost efficiency, and risk reduction for your enterprise workloads.
Absolute Regulatory Compliance
Protect customer data privacy and comply with GDPR, HIPAA, and CCPA standards during development.
Accelerated Development Cycles
Developers get access to high-fidelity data subsets instantly, eliminating delay tickets for sandbox refreshes.
Infrastructure Storage Savings
Slicing production terabytes into 10% clones saves massive hosting costs on non-production servers.
Clean and Governed SAP Transitions
Deploy certified database administrators and data validation templates to safeguard S/4HANA migrations and query executions.
