- 100% declared or observed.
- No aggregation or inference.
- Dozens of data types / attributes.
- Shorten the window between idea and data access.
- No long term commitments minimizes the risk in data exploration.
- Automated recommendations of most impactful attributes.
- No black boxes.
- Leverage ground truth to measure the veracity of supply.
- Set your own thresholds for quality.
- Data from multiple sources is normalized into a single feed.
- Retain record level provenance by source.
- Spend your time doing data science not ETL.
Use in your existing toolchain
- Egress licensed data into any external platform.
- Modern file formats and protocols help avoid “CSV hell.”
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