Get started quickly with a pre-built data quality metrics dashboard
Telmai has up to 40 predefined data metrics that you can leverage immediately, making rollout of a data monitoring quick and painless.
Data metrics
Schema
Schema changes like new attributes are added or removed
Completeness
Incomplete data received like null values, empty strings, NA etc
Record Count
Volume drifts like lower or higher row counts than expected.
Uniqueness
Alert on unexpected duplicate values.
Distribution drift
Identify drifts in statistical distribution for categorical.
Pattern drifts
Syntactical patterns for well formatted attributes like SSN, & Zip Code
Controlled lists
Validate acceptable values for a controlled lists like ISO codes, ICD codes, Gender , Address_Type etc
Accuracy
Flag inaccurate data based on multiple metrics like numeric values, is_email? , is_URL, length of strings, tokens etc.
Custom metrics
Users defined custom metrics and expectations using our proprietary Human-in-loop approach.