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Towards a Generic Statistical Business Process Model

This paper delves into the development and applicability of a Generic Statistical Business Process Model (GSBPM) to enhance statistical production. The GSBPM aims to define and standardize statistical processes, enabling comparison, benchmarking, and resource optimization across organizations. The model's evolution, phases, sub-processes, and key features are discussed, emphasizing its flexibility and broader relevance beyond traditional statistical domains. Practical applications of the GSBPM within UNECE and its benefits for data output producers are highlighted, inviting feedback and collaboration for further refinement.

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Towards a Generic Statistical Business Process Model

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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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