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United Nations Economic Commission for EuropeStatistical DivisionUnited Nations Economic Commission for EuropeStatistical Division
Exploring the relationship between DDI, SDMX and the Generic
Statistical Business Process Model
Steven Vale, UNECE
Steven Vale - UNECE Statistical Division Slide 2
Contents
Introducing the GSBPM Links to DDI and SDMX Combining Standards to Industrialize
Official Statistics Conclusions
Steven Vale - UNECE Statistical Division Slide 3
GSBPM – The 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 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
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 9
Structure of the GSBPM
Process
Phases
Sub-processes
(Descriptions)
Steven Vale - UNECE Statistical Division Slide 10
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 12
Links to DDI and SDMX
SDMX standards refer to business processes, but do not have a model
DDI has the Combined Life Cycle Model
Steven Vale - UNECE Statistical Division Slide 13
Generic Statistical Business Process Model
DDI 3.0 Combined Life Cycle Model
1 Specify Needs Study Concept Repurposing (part)
2 Design
3 Build
4 Collect Data Collection
5 Process Data Processing (mostly)Repurposing (part)
6 Analyse Data DiscoveryData AnalysisData Processing (part)
7 Disseminate Data Distribution
8 Archive Data Archiving
9 Evaluate
Quality Management
Metadata Management
Steven Vale - UNECE Statistical Division Slide 14
Combining standards
“Industrialization” of statistical production GSBPM provides the framework, but
more is needed:• Information model• Data / metadata formats• Modular architecture• Shared development of tools and methods
Steven Vale - UNECE Statistical Division Slide 15
Data / metadata formats
SDMX?• Suitable for micro-data??
DDI?• Suitable for exchange of statistical
aggregates? Combined approach?
• Trial by Australian Bureau of Statistics
Steven Vale - UNECE Statistical Division Slide 17
Conclusions
Too early to say for definite, but:• No single standard meets all requirements• Combine standards?
GSBPM DDI SDMX Others?
More work needed!
Steven Vale - UNECE Statistical Division Slide 18
Questions and Comments?
METIS Workshop on GSBPM and related standards, 5-7 October 2011, Geneva
DDI community welcome!