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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 • Defining and mapping business processes in statistical organisations started at least 10 years ago • “Statistical value chain” • “Survey life-cycle” • “Statistical process cycle” • “Business process model”

  4. Background • Defining and mapping business 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

  5. Modelling Statistical Business Processes • Reached a stage of maturity where a generic international standard is the logical next step • Many drivers for a generic model: • “End-to-end” metadata systems development • Harmonization of terminology • Software sharing • Process-based organization structures • Process quality management requirements • ...

  6. Why do we need a model? To define, describe and map 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 Current Model • 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 (1) • 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. Applicability (2) Producing statistics from raw data(micro or macro-data) Revision of existing data / re-calculation of time-series Development and maintenance of statistical registers

  10. Structure of the Model (1) Process Phases Sub-processes (Descriptions)

  11. Structure of the Model (2) • National implementations may need additional levels • Over-arching processes • Quality management • Metadata management • Statistical framework management • Statistical programme management • ........ (8 more – see paper)

  12. Key features (1) 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

  13. Key Features (2) • In theory the model is circular: • Evaluation can lead to modified needs and design • In practice it is more like a multiple helix: • There may be several iterations of a process underway at any point in time

  14. Mapping to OtherModels

  15. Relevance to SDMX • Process modelling already mentioned in: • SDMX User Guide • V2 Technical Standards • Euro SDMX Metadata Structure • Common terminology • If inputs and outputs use SDMX formats, why not the intermediate processes?

  16. Standardized process descriptions Harmonised processes Rationalization of software Use of open source and shared components SDMX between components Convergence of business architectures

  17. Next steps • Several organisations are implementing this model or similar ones • Gather implementation experiences and other comments as input for Part C of the “Common Metadata Framework” • Present to the Bureau of the Conference of European Statisticians • Role in SDMX?

  18. 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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