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