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

United Nations Economic Commission for Europe
Statistical Division
Towards a Generic Statistical
Business Process Model
Steven Vale, UNECE
Contents
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Background
Modelling statistical business processes
Applicability
Structure and key features
Relevance to SDMX
Next steps
Steven Vale - UNECE Statistical Division
Slide 2
Background
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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 3
Background
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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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Generic Statistical Business
Process Model
Steven Vale - UNECE Statistical Division
Slide 4
Modelling Statistical Business
Processes
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Reached a stage of maturity where a
generic international standard is the logical
next step
Many drivers for a generic model:
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“End-to-end” metadata systems development
Harmonization of terminology
Software sharing
Process-based organization structures
Process quality management requirements
...
Steven Vale - UNECE Statistical Division
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Why do we need a model?
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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
Steven Vale - UNECE Statistical Division
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History of the Current Model
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Based on the business process model
developed by Statistics New Zealand
Added phases for:
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Archive (inspired by Statistics Canada)
• Evaluate (Australia and others)
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Three rounds of comments
Terminology and descriptions made
more generic
Wider applicability?
Steven Vale - UNECE Statistical Division
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Applicability (1)
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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:
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Surveys / censuses
• Administrative sources / register-based statistics
• Mixed sources
Steven Vale - UNECE Statistical Division
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Applicability (2)
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Producing statistics from raw data
(micro or macro-data)
Revision of existing data / re-calculation
of time-series
Development and maintenance of
statistical registers
Steven Vale - UNECE Statistical Division
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Structure of the Model (1)
Process
Phases
Subprocesses
(Descriptions)
Steven Vale - UNECE Statistical Division
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Structure of the Model (2)
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National implementations may need
additional levels
Over-arching processes
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Quality management
Metadata management
Statistical framework management
Statistical programme management
........ (8 more – see paper)
Steven Vale - UNECE Statistical Division
Slide 11
Key features (1)
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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
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Key Features (2)
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In theory the model is
circular:
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Evaluation can lead to
modified needs and design
In practice it is more like
a multiple helix:
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There may be several
iterations of a process
underway at any point in
time
Steven Vale - UNECE Statistical Division
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Mapping
to Other
Models
Steven Vale - UNECE Statistical Division
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Relevance to SDMX
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Process modelling already mentioned in:
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SDMX User Guide
• V2 Technical Standards
• Euro SDMX Metadata Structure
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Common terminology
If inputs and outputs use SDMX formats,
why not the intermediate processes?
Steven Vale - UNECE Statistical Division
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Standardized process descriptions
Harmonised processes
Rationalization of software
Use of open source and shared components
SDMX between components
Convergence of business architectures
Steven Vale - UNECE Statistical Division
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Next steps
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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?
Steven Vale - UNECE Statistical Division
Slide 18
Questions and Comments?
[email protected]
For more information see the METIS wiki:
www1.unece.org/stat/platform/display/metis
Steven Vale - UNECE Statistical Division
Slide 19