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Data analysisReportingAnomaly detection
Data Analysis

Seagull — Data Analyst

Checks agreed data, spots material changes, and prepares findings with calculations, sources, and open questions.

How it works

  1. Loads the approved data and validates freshness, schema, and expected coverage.

  2. Calculates the agreed metrics and compares them with the relevant period or segment.

  3. Investigates material changes and records the queries and assumptions behind each finding.

  4. Delivers a concise brief and escalates missing context instead of inventing a conclusion.

Trigger

  • A scheduled reporting run begins

  • An agreed metric crosses a threshold

  • A team member asks an approved analysis question

Inputs

  • Approved datasets and metric definitions

  • Reporting periods and comparison rules

  • Business context and known caveats

Outputs

  • Reproducible calculations

  • Prioritised findings and anomalies

  • A concise analysis brief with open questions

Recurring analysis needs a wider field of view

Seagull watches the metrics and datasets you have explicitly put in scope. It notices material changes, investigates them with reproducible calculations, and separates evidence from interpretation.

A finding is not an automatic decision

Every brief includes its sources, calculations, assumptions, and unanswered questions. Your team supplies business context and makes the decision. We maintain the connections, analysis rules, evaluations, models, and operating cost.

Query to finding

Evidence

Schedule or signal

Cadence

Human interpretation

Control

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