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Towards a Generic Statistical Business Process Model Steven Vale, UNECE

Towards a Generic Statistical Business Process Model Steven Vale, UNECE. Contents. Background Modelling statistical business processes Applicability Structure and key features Relevance to SDMX Next steps. Background.

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Towards a Generic Statistical Business Process Model Steven Vale, UNECE

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  1. Towards a Generic Statistical Business Process ModelSteven Vale, UNECE

  2. Contents • Background • Modelling statistical business processes • Applicability • Structure and key features • Relevance to SDMX • Next steps

  3. 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. History of the GSBPM • Based on the business process model developed by Statistics New Zealand • Added phases for: • Archive (inspired by Statistics Canada) • Evaluate (Australia and others) • Three rounds of comments • Terminology and descriptions made more generic • Wider applicability?

  8. 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

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

  10. 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

  11. Applying the GSBPM in UNECE

  12. Questions and Comments? steven.vale@unece.org For more information see the METIS wiki: www1.unece.org/stat/platform/display/metis

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