Taking on now
BI infrastructure
The foundation of analytics: warehouse, models and tools.
What it is
Stack selection, BI deployment, a metrics layer and access rights that can grow without rework.
Typical problem
Reports grow chaotically and load the working database.
What you get
- Stack selection
- Metrics layer
- Access rights
Who it is for
- Medium-sized businesses
- Large companies
Technologies
- Power BI
- dbt
- Metabase
Examples. The stack is chosen for the task.
Related services
Data warehousesOne place for analytics, separate from your working systems.ETL/ELT pipelinesData arrives from sources in the warehouse regularly and predictably.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.
Related solutions
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.