SERVICES
Data and analytics
One set of numbers every department believes. Dashboards refresh themselves, and deviations arrive in Telegram instead of waiting for a meeting.
What people usually arrive with
Every department has its own report, and the numbers in them disagree.
Data is assembled into a spreadsheet by hand, so it is fresh once a week.
Problems show up in the monthly report, once it is too late to react.
Purchasing is planned on last month, and the warehouse fills with the wrong stock.
What we do
One source of data
Collected from the CRM, the accounting system, advertising, the site and the warehouse into a single base with data quality checks.
Operational dashboards
Live panels for sales, stock, service and cash. Deviations arrive in Telegram.
Demand, churn and stock forecasts
A model on your own history, a report with recommendations, recalculated on a schedule.
What this looks like in practice
Typical scenarios in this area: what people arrive with and what we do about it. These are not named client cases, the confirmed work is collected in the portfolio.
Retail chain
- Situation
- Sales, stock and advertising lived in three systems, and the summary was made by hand every Monday.
- What we do
- Data is collected into one base, the dashboard refreshes itself, and gaps are visible immediately.
Subscription service
- Situation
- Churn was learned about after the fact, from the monthly report.
- What we do
- A weekly risk list with the reason next to each name, so retention calls where it is worth calling.
Manufacturing
- Situation
- The manager only saw a shift in the foreman's morning report.
- What we do
- A dashboard by shift and deviation, with thresholds that push to the messenger.
The questions we get most
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