Anomaly detection & smart alerts
Instead of discovering the problem in the end-of-month report — get an alert the moment it starts. Automatic detection of data anomalies, in real time.
What is anomaly detection?
Anomaly detection uses machine-learning algorithms to automatically spot unusual behaviour in your data: a sudden drop in a branch's sales, a spike in product returns, a duplicate invoice, a production process drifting out of spec, or a decline in the quality of the data itself. The model learns what normal looks like for every metric — and alerts only when something is genuinely out of the ordinary.
How it works
The system connects to your existing data sources — the data warehouse, Power BI or core systems — and learns each metric's historical patterns, including seasonality, weekdays and trends. From then on it scans the data continuously, and when a significant deviation from expected behaviour is detected, an immediate alert is sent to the right person, with all the context needed to act.
Who it's for
The solution suits any organisation where a problem discovered late costs money: retailers who want to know immediately about a sales drop at a branch, finance managers who want to catch unusual charges before payment, factories monitoring faults and waste in real time, and data teams who want to be sure the numbers in the dashboards are complete and reliable every morning.
The business benefit
The difference between discovering a problem after an hour and after a month is often the difference between a minor glitch and significant damage. Smart alerts cut response time from days to minutes, save hours of manually combing through reports, and give managers peace of mind — if something important happens, they'll be the first to know.
Solution benefits
Real-time monitoring
The system scans your data continuously and detects outliers the moment they occur — not in the end-of-month report
Proactive alerts
An automatic alert sent by email, Teams or WhatsApp the moment an anomaly that needs attention is detected
Learns what's normal
The model learns the normal behaviour of every metric — including seasonality and weekdays — and alerts only on genuine deviations
Fewer false alarms
A smart, self-tuning threshold reduces noise and ensures every alert is truly worth your attention
Broad coverage
Monitors sales, operations, finance, data quality and processes — any metric that matters to the organisation
Full context for investigation
Every alert arrives with full details: what deviated, by how much, exactly where — and a link to the dashboard for immediate investigation
Shall we begin?
Tell us about your business challenge — we'll get back to you with a tailored proposal, no obligation.
- Free initial consultation
- Reply within one business day
- Personal guidance all the way