Norm FAQs

Question 1

Is it possible to process multiple values for anomaly detection at once?

Accepted Answer

Absolutely. Norm features a batch processing capability, enabling you to submit up to 100 values simultaneously for efficient anomaly detection against their respective baselines, complete with a summary of flagged and normal items.

Question 2

How does Norm identify data anomalies?

Accepted Answer

Norm analyzes individual or batch values, calculating their percentile and deviation from established statistical baselines. It then flags values that fall outside predefined normal ranges based on these metrics.

Question 3

What kind of details does Norm provide in its anomaly reports?

Accepted Answer

Norm offers comprehensive anomaly reports for each checked value, including its percentile, deviation from the baseline, a clear 'flagged' status, and baseline statistics like mean, median, P10, and P90 for context.

Question 4

What is Norm and what does it do?

Accepted Answer

Norm is a powerful analytics tool that detects anomalous values in your datasets by comparing them against robust statistical baselines for various categories. It helps identify unusual data points that may require attention.

Question 5

Can Norm account for context in its analysis?

Accepted Answer

Yes, Norm supports contextual parameters such as unit (e.g., USD, hours), geographic region (e.g., US, EU), and company size (e.g., startup, enterprise), allowing for more precise and relevant anomaly detection tailored to your specific data environment.

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