When you need it
- Decisions made without reliable numbers.
- Reports that take days to be ready.
- Different versions of the data across departments.
Area of work
Business analytics
Stop deciding on gut feeling: clean data, clear indicators and reports that tell the truth.
What's included
- Centralizing and cleaning the data.
- Custom models and indicators (KPIs).
- Management and financial reporting.
- Automating data refresh.
How I work
- 1Defining the key business questions.
- 2Building the data model and the indicators.
- 3Reports and dashboards with automatic refresh.
Frequently asked questions
That is the typical starting point: the first phase is exactly centralizing and cleaning. Without it, any dashboard lies.
As long as volumes and sources are few, yes. When reports take hours or different versions of the same numbers circulate, you need a data layer.
Whatever fits the case: PostgreSQL and dbt for the data layer; Power BI, Metabase or Looker Studio for visualization — also based on what you already have.
Outcome
- A single source of truth for the numbers.
- Faster, data-driven decisions.
- Reports ready with no manual work.
Tools
PostgreSQL
dbt
Power BI
Looker Studio
Metabase
Cases
Want to know if this is the right area for your situation?
Let's talk