Generic Statistical Business Process Model (GSBPM) provides a standard framework and harmonised terminology to help statistical organisations to modernise their statistical production processes. Generic Statistical Information Model (GSIM) is a reference framework for statistical information that provides a set of standardised, consistently described information objects. Conceptually the two models are closely related and complementary as GSIM describes information objects used as inputs and outputs in statistical production process. As usage of both models is growing, it is important to provide clearer view on how these two models can be used together in an integrated way. This integration will make it easier to design systems to track information flows through statistical business process, thus making processes and services more efficient and potentially automated to some degree. Linking GSBPM and GSIM report shows how GSIM objects can be used for inputs and outputs of each GSBPM sub-processes. The different types of information is structured using GSIM "Business" Group as
The diagram below shows information flow of core inputs and outputs (GSIM information objects are represented as non-grey boxes; GSBPM sub-processes are represented as grey boxes). For the full list of inputs and outputs, please refer to the report. Note that
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GSBPM Phase 1. Specify needsGSBPM Phase 2. DesignGSBPM Phase 3. BuildGSBPM Phase 4. CollectGSBPM Phase 5. ProcessGSBPM Phase 6. AnalyseGSBPM Phase 7. DisseminateGSBPM Phase 8. Evaluate |