Speaker
Description
The Pacific Community’s Statistics for Development Division (SDD) is implementing a division‑wide business process optimisation programme to modernise statistical production through standards‑aligned process re‑engineering. Core activities, such as mapping the organisational structure to the GSBPM, defining governed data steady states, and redesigning end‑to‑end workflows using BPMN, provide a structured foundation for consistent, transparent, and service‑oriented production architecture.
A central enabler of this transformation is the combined use of DDI Codebook and SDMX across the statistical lifecycle. The Pacific Data Hub Microdata Library serves as the authoritative source for DDI‑documented microdata, which is processed by the Pacific Community on behalf of National Statistical Offices of the region. Statistics are disseminated using the SDMX standard on a .Stat Suite data portal also part of the Pacific Data Hub, or similar portals deployed by member countries and territories. The paper will present approaches for using DDI and SDMX together to establish a robust bridge between microdata and aggregated statistical outputs, covering both statistical data and associated descriptive metadata.
By embedding standards such as DDI, SDMX and BPMN within redesigned GSBPM‑aligned processes, the Pacific Community is creating an integrated data and metadata ecosystem linking microdata, aggregated statistics, and their explanatory metadata. The Pacific experience illustrates how standards‑based process optimisation enhances efficiency, transparency, and repeatability in times of rapid technological and organisational change and ever‑more‑volatile demand for statistics. Enhancing the AI‑readiness of Pacific informational assets through standard, machine‑interpretable metadata is a key objective in a region with limited analytical capacity.