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Generic Statistical Business Process Model (GSBPM)

Generic Statistical Business Process Model (GSBPM). Description and ONS examples. May 2014. GSBPM V5 (2014). Specify Needs.

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Generic Statistical Business Process Model (GSBPM)

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  1. Generic Statistical Business Process Model (GSBPM) Description and ONS examples May 2014

  2. GSBPM V5 (2014)

  3. Specify Needs When a need for new statistics is identified, or feedback from users initiates a review. It determines whether there is a presently unmet demand and whether we can produce the statistics. Examples: Eurostat provided their requirements for the new release. We also considered UK users’ needs and UK Statistics Authority guidance. Consultation with users was done through a seminar and user-group.

  4. Design Development and design activities, and associated research to define the statistical outputs, concepts, methodologies, collection instruments and operational processes. Example: Design reviewed and a simpler approach set up more in line with user needs. Questionnaire designed with respondents in mind, eg what data they have available and when.

  5. Build Builds and tests the production systems ready for use in the live environment. Example: The system was being transferred from another government department. It was extensively reviewed and tested to ensure compatibility with the ONS IT environment.

  6. Collect Collects all necessary data (survey and / or admin) using different collection modes and loads them into the appropriate data environment. Examples: A contract was set up to ensure ongoing delivery of data that met ONS requirements. Secure and efficient access to the data was established to allow ONS to download the data each period. The system was thoroughly tested to ensure performance and reliability was suitable for a monthly production cycle.

  7. Process The cleaning of data records and their preparation for analysis. This includes checking, cleaning and transforming data. Examples: Quality checking conducted on the raw data; missing and suspect values flagged and imputations made. Checks against European requirements and user feedback to ensure all relevant information included.

  8. Analyse Statistics are produced, examined in detail and made ready for dissemination. This enables increased understanding of the statistics produced. Example: ONS production system and previous process from another government department run in parallel for two months to ensure both producing the same result.

  9. Disseminate Manages the release of the statistical products to customers. Example: Pre-announced publication date of first estimates to users

  10. Evaluate Evaluation of the statistics takes place at the end but covers the previous phases. Works to ensure user needs are met. Example: Invite users to feedback comments, which are collated, analysed and acted on.

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