SDMX offers a lingua franca to support communication, not only between expert statisticians, but also more broadly between and within organisations; it is a catalyst to build cross-functional, multidisciplinary teams that speak the same language.
Typically between organisations, this has been cambodia rcs data the original business case justifying the creation of the standard, as SDMX supports reporting from national entities to international organisations, in an automated and consistent manner (statistical reporting, but in fact it could be used for any kind of reporting or structured data exchange, in a push/ingest or serve/pull mode).
More interestingly, within a given organisation, SDMX enables collaboration between IT experts, data engineers and data scientists, as well communication or dataviz experts. By using the appropriate tools in order to design their data, and producing the corresponding ‘artefacts’ (for example a lists), the statisticians can generate ‘in a click’ the creation of a database and the generic user-friendly interface to explore it – without having to go through the painful process of specifying a custom IT product, collaborating with IT teams to design a database, and with communication experts to design a data experience, spending time and resources in a risky technical delivery project, and so on.