Exploring the relationship between DDI, SDMX and the Generic Statistical Business Process Model Steven Vale, UNECE

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Exploring the relationship between DDI, SDMX and
the Generic Statistical Business Process Model
Steven Vale, UNECE
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Contents

• Introducing the GSBPM
• Links to DDI and SDMX
• Combining Standards to Industrialize Official
  Statistics
• Conclusions

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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

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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

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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

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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

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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

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Structure of the GSBPM
Process Phases Sub-processes (Descriptions)
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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

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Links to DDI and SDMX

• SDMX standards refer to business processes, but
  do not have a model
• DDI has the Combined Life Cycle Model

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Generic Statistical Business Process Model DDI 3.0 Combined Life Cycle Model
1 Specify Needs Study Concept Repurposing (part)
2 Design Study Concept Repurposing (part)
3 Build Study Concept Repurposing (part)
4 Collect Data Collection
5 Process Data Processing (mostly) Repurposing (part)
6 Analyse Data Discovery Data Analysis Data Processing (part)
7 Disseminate Data Distribution
8 Archive Data Archiving
9 Evaluate

Quality Management
Metadata Management
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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

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Data / metadata formats

• SDMX?
• Suitable for micro-data??
• DDI?
• Suitable for exchange of statistical aggregates?
• Combined approach?
• Trial by Australian Bureau of Statistics

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Combining standards?
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Conclusions

• Too early to say for definite, but
• No single standard meets all requirements
• Combine standards?
• GSBPM
• DDI
• SDMX
• Others?
• More work needed!

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• Questions and Comments?
• steven.vale_at_unece.org
• METIS Workshop on GSBPM and related standards,
  5-7 October 2011, Geneva
• DDI community welcome!