Abstract

Statistical organisations are increasingly asked to do more, with less – produce more granular statistics more quickly, analyse more data with more advanced methods and reach a wider audience with more appealing presentation, all with limited resources and growing competition with other data providers. Modernisation is key to ensure that statistical organisations work efficiently and in a cost-effective manner, and this goes beyond merely adopting new technologies and tools. The more foundational way to modernise is to transform how its work and information are organised.

ModernStats models is a set of models that help a statistical organisation to modernise the ways it operates. They provide reference frameworks and common vocabularies to facilitate standardisation across important business layers such as process, information, service and capability. The models are widely used around the world to drive innovations or changes on the level of the whole organisation, e.g. identify duplicates, centralise production processes and reuse information and solutions.

ModernStats models are evolving – they have expanded over the years since the first model (GSBPM) came out 15 years ago. Each model that was added to the set aimed to complement others while building on experiences unique to statistical organisations as well as standards in a broader industry ecosystem. The models individually also evolve over time through revisions to remain relevant to the needs of the statistical organisations.

With the fast speed of changes in terms of technologies and society that statistical organisations need to serve, ModernStat models, perhaps more importantly, the core spirit of standard-based modernisation that is behind all the models, will continue helping the organisations to respond to the challenges in an agile and efficient way.