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
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United Nations Economic Commission for EuropeStatistical DivisionUnited Nations Economic Commission for EuropeStatistical Division
Towards a Generic Statistical Business Process Model
Steven Vale, UNECE
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Steven Vale - UNECE Statistical Division Slide 2
Contents
Background Modelling statistical business processes Applicability Structure and key features Relevance to SDMX Next steps
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Steven Vale - UNECE Statistical Division Slide 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”
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Steven Vale - UNECE Statistical Division Slide 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
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Steven Vale - UNECE Statistical Division Slide 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• ...
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Steven Vale - UNECE Statistical Division Slide 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
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Steven Vale - UNECE Statistical Division Slide 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?
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Steven Vale - UNECE Statistical Division Slide 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
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Steven Vale - UNECE Statistical Division Slide 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
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Steven Vale - UNECE Statistical Division Slide 10
Structure of the Model (1)
Process
Phases
Sub-processes
(Descriptions)
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Steven Vale - UNECE Statistical Division Slide 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)
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Steven Vale - UNECE Statistical Division Slide 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
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Steven Vale - UNECE Statistical Division Slide 14
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
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Steven Vale - UNECE Statistical Division Slide 15
Mapping to OtherModels
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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?
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Steven Vale - UNECE Statistical Division Slide 17
Standardized process descriptions
Harmonised processes
Rationalization of software
Use of open source and shared components
SDMX between components
Convergence of business architectures
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Steven Vale - UNECE Statistical Division Slide 18
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?
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Steven Vale - UNECE Statistical Division Slide 19
Questions and Comments?
For more information see the METIS wiki:
www1.unece.org/stat/platform/display/metis