French public data is plentiful and reliable, but spread across different organisations, formats and specialist terminology. EcoKwa provides a simpler entry point for finding an indicator, understanding what it represents and following its evolution.
Design challenges
Bringing sources with different formats into a common model while retaining their origin and methodology.
Keeping data up to date despite import failures, without creating duplicates on reruns.
Making data readable without losing its context: source, methodology, provisional or revised statuses, and the difference between a missing value and zero.
Architecture choices
Unifying sources, making imports dependable, preserving context
01
Dedicated importers
Data arrives through paginated JSON APIs and Excel files. Dedicated importers validate responses, normalise periods and update existing observations.
02
Background processing with recovery
Imports run in the background, distinguish temporary from permanent failures and retry progressively. Locks and an execution history complete the process.
03
Context preserved
The source, methodology and statuses remain visible. A missing value is never replaced with zero, and charts have a tabular alternative.
In pictures
An indicator page brings together its latest value, evolution, origin and official source.
