Agentic data science with the Data Agent Kit
cloud.google.com·7h ago
AI Research
arXiv CS.AI·Sep 12·5 min read
Generating a Consistent Enterprise: Synthesis and Reference-Free Evaluation of Multi-System Business Data
TL;DR
A novel generator creates fully fictional enterprises without real datasets, producing consistent business data across various applications. Its realism has been validated through rigorous statistical checks, achieving a mean realism score of 99.1.
✦ Why It Matters
Explore this generator to create realistic business data for testing and development without relying on real datasets.
Key Takeaways
- Utilize the generator for creating test data without real datasets.
- Leverage high realism scores for more reliable testing environments.
- Explore the second generator for tailored relational databases.
- Implement the service in offline environments using container images.
How It Works
The generator synthesizes a fictional enterprise by defining parameters such as industry and business model, producing interconnected data across various business applications. It ensures consistency by projecting a single entity graph into the formats of 66 different business products, allowing for seamless integration of customer data across systems.