United Nations Economic Commission for Europe Statistical Division Towards a Generic Statistical Business Process Model Steven Vale, UNECE
Steven Vale - UNECE Statistical Division Slide 2 Contents Background Modelling statistical business processes Applicability Structure and key features Relevance to SDMX Next steps
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
Steven Vale - UNECE Statistical Division Slide 4
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”
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
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
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?
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
Steven Vale - UNECE Statistical Division Slide 10 Structure of the GSBPM Process Phases Sub- processes (Descriptions)
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
Steven Vale - UNECE Statistical Division Slide 13 Applying the GSBPM in UNECE
Steven Vale - UNECE Statistical Division Slide 14 Questions and Comments? For more information see the METIS wiki: www1.unece.org/stat/platform/display/metis