Clean data before trusted dashboards.
The database gets cleaned before the dashboard gets trusted — pipelines that normalize your data on a schedule, not a one-time favor.
If the data is dirty, every model built on it is too.
Most reporting problems are not reporting problems — they are unnormalized source data pretending to be a metric. We start by cleaning and normalizing the databases feeding your dashboards, then build the ETL and ELT pipelines that keep them clean on a schedule, not a one-time favor. Server-side conversion tracking replaces the browser-side tags that ad blockers and cookie policies are steadily breaking, so a conversion is recorded once, correctly, and tied to the channel that actually earned it. On top of that we build attribution models that hold up across multi-touch journeys, so budget moves toward what the data shows working, not what a last-click report guessed.
Capabilities
The engagement
Audit
Map every data source and every place two systems already disagree about the same number, before writing a line of transformation logic.
Normalize
Design the schema and build the ETL and ELT pipelines that turn inconsistent sources into one normalized reporting layer, in version control.
Track
Wire server-side conversion tracking and attribution modeling directly to revenue events, not to a pixel that a browser might block tomorrow.
Ship
Hand over documented, version-controlled pipelines and a reporting layer your team can trust without asking anyone to export a spreadsheet.