Abstract

As nations face increasing volumes, velocities and varieties of data, the role of national statistical offices (NSOs) is evolving. This paper describes the Department of Statistics Malaysia (DOSM) efforts to transition from producing periodic statistical outputs to developing an intelligence driven national data ecosystem. Malaysia’s statistical capacity increasingly relies on DOSM ability to integrate administrative and alternative data sources, implement national statistical and data standards, enable interoperable data flows and apply automation and artificial intelligence across the statistical value chain. A key component of this transformation is DOSM’s Statistical Data Warehouse (StatSDW®), designed as a tiered architecture to support efficient data ingestion, storage and processing. The StatSDW® incorporates data lineage and governance, ensuring traceability, transparency and trust across datasets, while leveraging big data technologies to handle high-volume, high-velocity and diverse data sources. The paper outlines an evolving operating model in which DOSM acts as a national data steward, intelligence enabler and guardian of data quality, ethics and governance. It highlights the strategic, institutional and technological measures required to build a resilient and integrated ecosystem capable of producing timely insights and supporting evidence-based policymaking. By positioning official statistics within a national intelligence framework, this paper demonstrates how DOSM is adapting to the data revolution to improve statistical outputs and data-driven decision making.