Detect Anomalies to Improve Data Quality

Identify and monitor outliers in real time

Detect Anomalies to Improve Data Quality

The Solution

Quick Start, Out of the Box

Connect your data to Telmai and detect patterns and values that stand out. These outliers could be related to data quality issues such as unexpected string values in a numeric field or could be outliers in business metrics such as transaction totals that fall outside the expected distribution of your data. 

Time Series Drift Detection

Time Series Drift Detection

Telmai uses time series analysis to learn about the trend of values in your data over time and predict what can be reasonably expected. With Telmai’s observations, you are able to identify data points that drift from expected thresholds. You can decide how much variability is standard and set rules and expectations to get notified when outliers and anomalies occur.

Monitor and Detect Changes in Real Time

Telmai uses the historical analysis of your data to create a baseline for normal behavior. With that baseline established, Telmai automates your anomaly detection. When your data crosses a certain threshold or falls outside historical patterns, alerts and notifications help you uncover changes in your data and key KPIs.

Monitor and Detect Changes in Real Time

Start your data observibility today

Connect your data and start generating a baseline in less than 10 minutes. 

Telmai is a platform for the Data Teams to proactively detect and investigate anomalies in real-time.
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