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Gsbpm Gsbpm Presentation Transcript

  • 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
    • 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”
  • 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 Business Process Model
  • 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
      • ...
  • 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
  • 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?
  • 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
  • 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
  • Structure of the Model (1) Process Phases Sub-processes (Descriptions)
  • 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)
  • 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
  •  
  • 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
  • Mapping to Other Models
  • 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?
    • Standardized process descriptions
    • Harmonised processes
    • Rationalization of software
    • Use of open source and shared components
    • SDMX between components
    • Convergence of business architectures
  • 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?
    • Questions and Comments?
    • [email_address]
    • For more information see the METIS wiki:
    • www1.unece.org/stat/platform/display/metis