26–28 May 2026
Dorint Pallas Hotel
Europe/Zurich timezone

Session

Agile Process and Quality Management

Not scheduled
In-Person
Dorint Pallas Hotel, Wiesbaden, Germany

Dorint Pallas Hotel

Wiesbaden, Germany

Presentation materials

There are no materials yet.

  1. Matjaž Jug (Netherlands), Olav ten Bosch (Statistics Netherlands)

    The progressing data landscape and the evolving requirements of the modern information ecosystems demand that National Statistical Organizations (NSOs) transition from rigid ""stove-pipe"" systems toward standardized, flexible and modular architectures. This business transformation is increasingly powered by Free and Open Source Software (FOSS), which provides the technical and cultural...

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  2. Raúl Mejía (National Institute of Statistics and Geography (INEGI, México))

    Faced with rapid technological shifts, a surge in data sources, and rising demands for high-quality information, INEGI has developed a strategic proposal to modernize its statistical and geographical production. This initiative centers on the integration and operationalization of international standards to create a more cohesive production environment.

    At the heart of this strategy is the...

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  3. Sophie Edgar-Andrews (Office for National Statistics)

    Across the statistical community, there is growing recognition that high-quality outputs depend on high-quality processes. The Office for National Statistics – the UK’s largest independent producer of official statistics – is currently undertaking an ambitious project to strengthen quality by systematically mapping, visualising, and continuously improving the production ecosystem. The aim is...

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  4. Jean-Marc Museux (Eurostat)

    In the context of the ESS Innovation Agenda, quality assurance must evolve to meet the challenges posed by new technologies and data sources. This contribution reflects on three challenges shaping that evolution: the integration of Artificial Intelligence (AI) and Machine Learning in statistical processes, the operationalisation of Statistics under Development (SuD), and the growing reliance...

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No scheduled contributions