towards a generic statistical business process model steven vale, unece
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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. - PowerPoint PPT PresentationTRANSCRIPT
United Nations Economic Commission for EuropeStatistical DivisionUnited Nations Economic Commission for EuropeStatistical 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
Topics
P r o c e s s e s
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 BusinessProcess 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