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Countries covered
ATLAS connects a structured PostgreSQL data warehouse to comparative dashboards, advanced search, and EMY — our business-intelligence layer built for economists, researchers, and operators who need answers, not spreadsheets.
Every dataset in ATLAS is filed against a domain sector, so comparisons across trade, labour, energy, and climate stay methodologically consistent.
The same pipeline feeds every page on ATLAS — the dashboards, the search index, and EMY's diagnostics.
Scheduled jobs pull from statistical agencies, central banks, and partner feeds into staging tables.
Range checks, unit reconciliation, and outlier flags run before anything reaches PostgreSQL production tables.
Series are mapped to a shared indicator taxonomy so a "GDP growth" query means the same thing everywhere.
The API serves versioned, cached endpoints to the dashboards, search, and downloads in this site.
EMY Works layers diagnosis and recommendation logic on top for organisational decision-making.
EMY is ATLAS's applied intelligence layer for organisations: it inspects your operating data, diagnoses where value is leaking, suggests a path, and helps implement it — with the same rigour as our national indicator work.
Meet EMY Works →Connects to your operational and financial data sources.
Flags structural bottlenecks against sector benchmarks.
Ranks interventions by expected impact and effort.
Tracks rollout against the metrics that triggered the diagnosis.
Harmonized, sourced, and versioned indicators with full methodology notes — ready for citation.
Advanced search across sectors and countries, with multi-select CSV downloads for your own models.
EMY Works turns the same data grid into a diagnosis of your organisation, and a plan to act on it.