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1. United Nations Economic Commission for Europe
Statistical Division
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
ďś Background
ďś Modelling statistical business processes
ďś Applicability
ďś Structure and key features
ďś Relevance to SDMX
ďś Next steps
3. Steven Vale - UNECE Statistical Division Slide 3
Background
ďś Defining and mapping business
processes in statistical organisations
started at least 10 years ago
⢠âStatistical value chainâ
⢠âSurvey life-cycleâ
⢠âStatistical process cycleâ
⢠âBusiness process modelâ
4. Steven Vale - UNECE Statistical Division Slide 4
Background
ďś Defining and mapping business
processes in statistical organisations
started at least 10 years ago
⢠âStatistical value chainâ X
⢠âSurvey life-cycleâ X
⢠âStatistical process cycleâ X
⢠âBusiness process modelâ X
Generic Statistical Business
Process Model
5. Steven Vale - UNECE Statistical Division Slide 5
Modelling Statistical Business
Processes
ďś Reached a stage of maturity where a
generic international standard is the logical
next step
ďś Many drivers for a generic model:
⢠âEnd-to-endâ metadata systems development
⢠Harmonization of terminology
⢠Software sharing
⢠Process-based organization structures
⢠Process quality management requirements
⢠...
6. Steven Vale - UNECE Statistical Division Slide 6
Why do we need a model?
ďś To define, describe and map statistical
processes in a coherent way
ďś To standardize process terminology
ďś To compare / benchmark processes within
and between organisations
ďś To identify synergies between processes
ďś To inform decisions on systems
architectures and organisation of resources
7. Steven Vale - UNECE Statistical Division Slide 7
History of the Current Model
ďś Based on the business process model
developed by Statistics New Zealand
ďś Added phases for:
⢠Archive (inspired by Statistics Canada)
⢠Evaluate (Australia and others)
ďś Three rounds of comments
ďś Terminology and descriptions made
more generic
ďś Wider applicability?
8. Steven Vale - UNECE Statistical Division Slide 8
Applicability (1)
ďś All activities undertaken by producers of
official statistics which result in data outputs
ďś National and international statistical
organisations
ďś Independent of data source, can be used
for:
⢠Surveys / censuses
⢠Administrative sources / register-based statistics
⢠Mixed sources
9. Steven Vale - UNECE Statistical Division Slide 9
Applicability (2)
ďś Producing statistics from raw data
(micro or macro-data)
ďś Revision of existing data / re-calculation
of time-series
ďś Development and maintenance of
statistical registers
10. Steven Vale - UNECE Statistical Division Slide 10
Structure of the Model (1)
Process
Phases
Sub-
processes
(Descriptions)
11. Steven Vale - UNECE Statistical Division Slide 11
Structure of the Model (2)
ďś National implementations may need
additional levels
ďś Over-arching processes
⢠Quality management
⢠Metadata management
⢠Statistical framework management
⢠Statistical programme management
⢠........ (8 more â see paper)
12. Steven Vale - UNECE Statistical Division Slide 12
Key features (1)
ďś Not a linear model
ďś Sub-processes do not have to be followed
in a strict order
ďś It is a matrix, through which there are
many possible paths, including iterative
loops within and between phases
ďś Some iterations of a regular process may
skip certain sub-processes
13.
14. Steven Vale - UNECE Statistical Division Slide 14
Key Features (2)
ďś In theory the model is
circular:
⢠Evaluation can lead to
modified needs and design
ďś In practice it is more like
a multiple helix:
⢠There may be several
iterations of a process
underway at any point in
time
15. Steven Vale - UNECE Statistical Division Slide 15
Mapping
to Other
Models
16. Steven Vale - UNECE Statistical Division Slide 16
Relevance to SDMX
ďś Process modelling already mentioned in:
⢠SDMX User Guide
⢠V2 Technical Standards
⢠Euro SDMX Metadata Structure
ďś Common terminology
ďś If inputs and outputs use SDMX formats,
why not the intermediate processes?
17. 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
18. Steven Vale - UNECE Statistical Division Slide 18
Next steps
ďś Several organisations are implementing
this model or similar ones
ďś Gather implementation experiences and
other comments as input for Part C of
the âCommon Metadata Frameworkâ
ďś Present to the Bureau of the Conference
of European Statisticians
ďś Role in SDMX?
19. Steven Vale - UNECE Statistical Division Slide 19
Questions and Comments?
steven.vale@unece.org
For more information see the METIS wiki:
www1.unece.org/stat/platform/display/metis