BI & analytics: decisions on the same day’s numbers

Tick what you recognise

Five statements — and an honest verdict: do you need this service and which package to start with.

Demand forecast — hover a day

The ML model explains the peak: Saturday — +31° heat and a stadium match. Auto-orders to suppliers are already increased.

Not “a service” but concrete artefacts

What you hold at the end — we remove the fear of “paid and got nothing”.

Pick a package — the scope highlights

Greyed out — what is not in the package. Ranges are medians of our projects.

• Data audit — sources, quality, metrics vocabulary
• DWH — one warehouse: POS, stock, CRM, ads
• Data marts & dashboards — roles: director, category manager, store
• ML forecast — demand with weather, events, promos
• Alerts — shelf, plan vs actual, anomalies — to a messenger
• Auto-actions — auto-orders to suppliers by forecast

Move the sliders — the range updates instantly

A benchmark based on medians of our projects. The exact estimate comes after the solution map.

Switch the scenario — we compare the alternatives

Sometimes the better deal is not ours — and we say so first.

What we do and what you get every week

Hover a point. Only artefacts, no “work in progress”.

What usually goes together