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Henrik Olof Andersson (Statistics Sweden)
A modernised statistical production will in nature be multi sourced. Administrative registers and other digital data sources will be combined with traditional or complementary sample surveys to create qualitative statistical output while minimising response burden. Furthermore, many new data sources will be useful for several statistical outputs. This situation calls for an architecture that...
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Anggraini Widjanarti (Bank Indonesia), She Asa Handarzeni (Bank Indonesia)
Bank Indonesia’s digital transformation increasingly depends on integrated, secure, and policy-responsive data and information management. In this setting, internal data access governance is a pivotal control to ensure effective data use by Bank Indonesia staff while safeguarding confidentiality, ensuring accountability, and protecting public trust. Yet digitalisation initiatives often...
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Jakob Engdahl (Statistics Sweden)
Official statistics is rapidly adopting cloud based and open-source self-service production platforms, modern programming languages, and more machine learning in production. In parallel, generative AI is becoming a natural part of development and maintenance work. These shifts are often aimed at improving speed, reproducibility, and reuse, but also increase the need for systematic operational...
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Daan Swinkels (Statistics Netherlands and chair of the Statistical Architecture Framework task group)
Some work is being undertaken on a new "Statistical Architecture Framework" under UNECE's Supporting Standards Group. This presentation will give an update on work to date.
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