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Domain Specific Reports
If you are using synthetic data to solve enterprise needs, your project is a great candidate for SDMetrics Domain Reports. Domain Reports measure the specific objective that you want to achieve with synthetic data.
Synthetic data projects can fail when they evaluate too many metrics and optimize for the wrong ones. The key to adoption is focusing on your project's goals.
The table below shows an example of important metrics based on your project requirements. These vary based on the project.
Project Objective | Metric: Boundary Adherence | Metric: Correlation Similarity | Metric: Category Coverage |
|---|---|---|---|
Software testing using synthetic data | ✅ | (not important) | ✅ |
Machine learning with synthetic data | (not important) | ✅ | ✅ |
Domain Reports include our insights on which metrics you should prioritize.
Creating synthetic data that perfectly optimizes every metric can be an expensive endeavor. It can require many rounds of iteration, leading you to complicated approaches.
When you focus on only a few, necessary metrics, you can choose a synthetic data model that optimizes just for what you need -- and cuts costs in other areas.
The SDMetrics Domain Reports are under development as part of our SDV Premium offering. We're actively looking for key strategic partners who will receive ...
Additional metrics that are tailored for your specific synthetic data use case
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Custom visualizations that you can easily share with your leadership team
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Feature prioritization & support from the DataCebo team
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If you're interested in being one of our early partners, click the link below to contact the team.
Last modified 1yr ago