Flag KPI anomalies for owners
Pull the latest metrics every few minutes, run automated anomaly detection against defined baselines, and send KPI alerts to the right owner by chat and email when a spike or drop appears.
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Every few minutes, the automation pulls the latest KPI metrics from [KPI reporting/BI tool] and compares each metric against its defined [baseline, anomaly thresholds defined in a database/speadsheet (e.g. Airtable, Google Sheets)] to detect spikes or drops. When an anomaly is found, it uses [AI model provider] to summarize the likely drivers from related metrics and recent changes in [KPI reporting/BI tool], then sends an alert with the metric, its current value, its baseline, and that summary to the relevant KPI owner via [team chat platform, e.g. Slack, Microsoft Teams] and by email through [email service, e.g. Gmail, Outlook].
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Problem
Data teams have to manually monitor business KPI reports for sudden spikes or drops, often checking multiple times per day. This makes anomaly detection slow and inconsistent, increasing the risk that critical metric changes are noticed too late to prevent business issues.
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Solution
Every few minutes, the automation pulls the latest KPI metrics from the BI tool and compares each metric against its defined baseline to detect spikes or drops. When an anomaly is found, it uses AI to summarize the likely drivers from related metrics and recent changes, then sends an alert with the metric, its current value, its baseline, and that summary to the relevant KPI owner through the team chat platform and by email.
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Impact
KPI owners hear about critical spikes and drops while there is still time to act, instead of discovering them in the next report review after the damage is done.
Benefits
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Faster issue response
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Reduced monitoring effort
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Fewer missed anomalies
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Earlier stakeholder alerts
Who is this for?
Success stories
Adapt at speed with visual-first automation and AI
Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.
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