Credit Intermediation and Related Activities2024Generative AIMachine Learning (classification)Synthetic Data GenerationB2B
Deutsche Bank

Deutsche Bank cuts test data provisioning time 80% with synthetic data for ESG onboarding

Deutsche Bank's Credit Risk Technology team adopted the Synthesized platform to generate high-fidelity, privacy-safe test data for ESG onboarding workflows, cutting data access delays dramatically and embedding synthetic data into CI/CD pipelines.

Data Provisioning Time80% reduction
5 min read

Background

Deutsche Bank's Credit Risk Technology team faced test data bottlenecks on a time-sensitive ESG onboarding project in early 2024. Complex multi-table relational structures simulating nature-related risk metrics required production-like data, but using real client records posed compliance risks under strict EU and German banking regulations. Manual data provisioning and masking were too slow to sustain the project's pace, and an internal GAN-based solution failed to reach readiness.

What Was Implemented

  • Synthesized synthetic data generation platform, delivered via REST API
  • Automated generation of high-fidelity, PII-free datasets mimicking production data structure and rules
  • Custom internal UI built by DB's Credit Risk Technology team atop the Synthesized API to enable non-technical access
  • Integration of synthetic data pipelines into CI/CD toolchain for continuous delivery into testing environments
  • Collaboration with Synthesized's engineering team to add rule-based generation and custom format support for ESG onboarding logic

Results

Deutsche Bank's adoption of Synthesized reduced test data provisioning time by 80% , eliminating the manual access requests and approval cycles that had blocked progress on the ESG onboarding project. Teams gained on-demand access to compliant, production-like test data, enabling earlier and more thorough testing. The bank also established a reusable test data infrastructure applicable to future automation and innovation programs.

Lessons

  • Privacy-preserving synthetic data can unblock regulated-industry testing without requiring legal exceptions or data masking workarounds
  • Building a custom UI atop a vendor API dramatically accelerates non-technical adoption
  • Strategic partnership investment (Deutsche Bank invested in Synthesized) can accelerate vendor responsiveness and platform customization
  • Integrating synthetic data generation into CI/CD pipelines converts a one-time project fix into persistent infrastructure

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