As a data scientist, it can be a painful process to procure high fidelity data to improve your models. Narrative streamlines access to raw data to test your hypotheses, and makes it easy to scale access for your best ideas.
How Narrative helps data scientists
Raw data
100% declared or observed
No aggregation or inference
Dozens of data types and attributes
Quality evaluation
Leverage ground truth to measure the veracity of supply
Set your own thresholds for quality
Fast hypothesis testing
Shorten the window between idea and data access
No long term commitments minimizes the risk in data exploration
Standardization
Data from multiple sources is normalized into a single feed
