After assessment
Anomaly detection
The system notices strange values before people do.
What it is
Statistical and ML methods for finding outliers in sales, operations and logs, with adjustable sensitivity.
Typical problem
A data error or a sharp drop is discovered only a week later.
What you get
- History analysis
- Sensitivity setup
- Alerts with explanations
Who it is for
- Medium-sized businesses
- Large companies
Related services
Operational monitoringA signal when an important process goes wrong.Data quality managementRules and checks that catch errors before the reports do.KPI dashboardsThe company’s key figures on one screen.Sales analyticsThe funnel, conversions and each manager’s contribution.Financial analyticsProfitability, expenses and cash flow across different views.Marketing analyticsWhat each channel and campaign brings in.
Questions
Do we need Power BI?
Not necessarily. We will pick a tool for your volume and budget: Power BI, Metabase, Looker Studio or a custom dashboard.
What if the data is dirty?
It almost always is. We start by checking the sources and honestly show which figures are not yet reliable.
How accurate are the forecasts?
Accuracy depends on your history and market stability. We show the error on past data and do not promise exact results.
Tell us what needs to be built
We will tell you whether it can be done, how and roughly for how much. No obligation.