01 / The engine
Data & analytics
Analytics, BI, analytics engineering, data science and ML. This is what the agency has run on for years, with two subcontractors and no office in any of the four countries.
- Analytics and BI. Dashboards people open, and numbers that reconcile.
- Analytics engineering. Models and pipelines that hold up when the business changes.
- Data science and ML where it pays for itself.
- Data engineering, since the line between that and analytics keeps blurring.