The .Stat Suite covers a broader part of the data lifecycle (GSBPM steps: Design; Collect; Process; Analyse; Disseminate) helping to resolve the limitations observed today by providing a set of back-office components that can be assembled in a way that is tailored for the specific context and processes of each organisation.
By adding SDMX full compliance (on both the input and output side), as well as connectors with main market tools, this is greatly facilitating an end-to-end integration with other data processing platforms already in place, as well as excel or other similar tools.
This is helping dissemination teams in statistical organisations to manage in a much more cost efficient way the different data sources they need to aggregate and set up the proper workflows ensuring quality outputs.
By taking an approach that is both modular and open (architecture) by design, complemented with the proper technical capacity building, this enables teams to be mobilised from around the world in a way that is efficient and to synergise developments done by other organisations to avoid reinventing the wheel.
The visualisation is a very specific part of the User Interface that is powered by D3. A versatile dedicated chart engine has been built on top of it, with an optional integration with React.
The Community works in close partnership with Eurostat enabling the reuse of common modules from the SDMX Reference Infrastructure (RI) package. This includes a web service supporting information exchanges with other modules, and consumption of internal and external flows in sdmx-ml, sdmx-json, and sdmx-csv formats, a web interface to support mappings between different data structures, and a storage for sdmx structural artefacts.
SDMX-RI and SDMXSOURCE are released under open source license, and used within more than 50 countries worldwide. It is available in both Java and .NET and can be used with different database engines back-ends such as Mariadb, MSSQLServer, and Oracle.
An out-the-box and exchangeable search engine, Solr (Apache Lucene), provides storage for search documents and returning of a relevant subset by search queries. Storage of accumulated data for dynamic facet generation as well as non-search related information such as configuration settings.
Solr is an enterprise open source search engine, written in Java, that uses a NoSQL database to enable extended search capabilities.