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Exploring the relationship between DDI, SDMX and the Generic Statistical Business Process Model Steven Vale, UNECE

Exploring the relationship between DDI, SDMX and the Generic Statistical Business Process Model Steven Vale, UNECE. Contents. Introducing the GSBPM Links to DDI and SDMX Combining Standards to Industrialize Official Statistics Conclusions. GSBPM – The Background.

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Exploring the relationship between DDI, SDMX and the Generic Statistical Business Process Model Steven Vale, UNECE

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  1. Exploring the relationship between DDI, SDMX and the Generic Statistical Business Process Model Steven Vale, UNECE

  2. Contents • Introducing the GSBPM • Links to DDI and SDMX • Combining Standards to Industrialize Official Statistics • Conclusions

  3. GSBPM – The Background • Statistical production has traditionally been organised by topic, e.g. transport, trade, … • Financial pressures are encouraging new ways of thinking • Some statistical organisations are moving towards a process-based approach • Others are considering a matrix approach

  4. Which processes? • Defining and modelling processes in statistical organisations started at least 10 years ago • “Statistical value chain” • “Survey life-cycle” • “Statistical process cycle” • “Business process model”

  5. Which processes? • Defining and modelling processes in statistical organisations started at least 10 years ago • “Statistical value chain” X • “Survey life-cycle” X • “Statistical process cycle” X • “Business process model” X Generic Statistical BusinessProcess Model

  6. Why do we need a model? To define and describe statistical processes in a coherent way To standardize process terminology To compare / benchmark processes within and between organisations To identify synergies between processes To inform decisions on systems architectures and organisation of resources

  7. Applicability • All activities undertaken by producers of official statistics which result in data outputs • National and international statistical organisations • Independent of data source, can be used for: • Surveys / censuses • Administrative sources / register-based statistics • Mixed sources

  8. Structure of the GSBPM Process Phases Sub-processes (Descriptions)

  9. Key features Not a linear model Sub-processes do not have to be followed in a strict order It is a matrix, through which there are many possible paths, including iterative loops within and between phases Some iterations of a regular process may skip certain sub-processes

  10. Links to DDI and SDMX • SDMX standards refer to business processes, but do not have a model • DDI has the Combined Life Cycle Model

  11. Combining standards • “Industrialization” of statistical production • GSBPM provides the framework, but more is needed: • Information model • Data / metadata formats • Modular architecture • Shared development of tools and methods

  12. Data / metadata formats • SDMX? • Suitable for micro-data?? • DDI? • Suitable for exchange of statistical aggregates? • Combined approach? • Trial by Australian Bureau of Statistics

  13. Combining standards?

  14. Conclusions • Too early to say for definite, but: • No single standard meets all requirements • Combine standards? • GSBPM • DDI • SDMX • Others? • More work needed!

  15. Questions and Comments? steven.vale@unece.org METIS Workshop on GSBPM and related standards, 5-7 October 2011, Geneva DDI community welcome!

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