How-to guide

How to identify anomalies in your data

A practical guide to identify anomalies in your data — and how Analytify lets you do it in plain English on governed data, without an analyst or a warehouse.

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✓ Step-by-step✓ No SQL required✓ Governed & auditable

Steps

How to identify anomalies in your data in three steps

Connect your data

Point Analytify at the sources involved.

Define it once

Set the metrics or logic in the governed semantic layer so results are consistent.

Do it in plain English

Ask Analytify to identify anomalies in your data — it generates the governed query and result, and shows the SQL.

With Analytify

The easy way to identify anomalies in your data

Analytify turns identify anomalies in your data into a plain-English request.

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Plain English

Describe what you want; Analytify builds it on governed data.

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Auditable

Every result shows the SQL, so analysts can verify and reuse it.

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Repeatable

Save it as a live dashboard or scheduled report.

FAQ

Frequently asked questions

How do I identify anomalies in your data?+

Connect your data to Analytify, define the relevant metrics once, and ask it to identify anomalies in your data in plain English — it generates the governed query and result for you.

Do I need to know SQL?+

No — Analytify is built for business users, and shows the SQL so analysts can verify.

Is the result trustworthy?+

Yes — results run on a governed semantic layer with defined metrics and joins.

Do I need a data warehouse?+

No — Analytify works directly on your connected sources, with or without a warehouse.

Is there a free version?+

Yes — the open-source Community Edition is free forever for self-hosted use.