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 actually open, and numbers that reconcile
- Analytics engineering — models and pipelines that survive contact with the business
- Data science and ML where it earns its keep, and not where it doesn’t
- Increasingly data engineering, as the line between that and analytics keeps blurring
