1. United Nations Economic Commission for Europe Statistical Division Towards a Generic Statistical Business Process Model Steven Vale, UNECE

2. Steven Vale - UNECE Statistical Division Slide 2 Contents  Background  Modelling statistical business processes  Applicability  Structure and key features  Relevance to SDMX  Next steps

3. Steven Vale - UNECE Statistical Division Slide 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. Steven Vale - UNECE Statistical Division Slide 4

5. Steven Vale - UNECE Statistical Division Slide 5 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”

6. Steven Vale - UNECE Statistical Division Slide 6 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 Business Process Model

7. Steven Vale - UNECE Statistical Division Slide 7 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

8. Steven Vale - UNECE Statistical Division Slide 8 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?

9. Steven Vale - UNECE Statistical Division Slide 9 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

10. Steven Vale - UNECE Statistical Division Slide 10 Structure of the GSBPM Process Phases Sub- processes (Descriptions)

11. Steven Vale - UNECE Statistical Division Slide 11 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

13. Steven Vale - UNECE Statistical Division Slide 13 Applying the GSBPM in UNECE

14. Steven Vale - UNECE Statistical Division Slide 14 Questions and Comments? steven.vale@unece.org For more information see the METIS wiki: www1.unece.org/stat/platform/display/metis