Statistical business process model
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Our statistical business process model is based on the work done by Statistics New Zealand, by Statistics Sweden and by METIS.
The phases we are currently using are as follows: 1. Specify Needs, 2. Design, 3. Build, 4. Collect, 5. Process, 6. Analyse and 7. Disseminate. We also have two overarching phases 8 Quality management - evaluate and feedback and 9 Support and infrastructure.
Comparison with the Generic Statistical Process Model v5.0 from December 2013 by the UNECE secretariat: The quality management part of the overarching phase Quality management/Metadata management is covered by our phase 8 Quality management - evaluate and feedback, while the Metadata management part is covered in our model by sub-processes and by our master metadata systems in the overarching phase 9 Support and infrastructure.
For more information on Statistics Norway's Business Process Model see
http://www.ssb.no/english/subjects/00/90/doc_200817_en/doc_200817_en.pdf
We have a clickable version of our business process model in Norwegian on our intranet. For each subprocess we have documented the subprocesses that can precede, those that can come after, the guidelines to be used, the activities to be considered, the supporting roles and applications and any feedback loops.
We encourage documentation, archiving and hours worked in statistical production to be recorded according to the phases 1 - 9 of our business process model.
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Here we list the metadata systems per GSBPM phase rather than the metadata. Please see section 4 for the contents of our metadata systems.
Specify needs - Vardok, Stabas and Adminstrative system for products, projects and processes
Design - Stabas
Build - None
Collect - Datadok, Metadb
Process - Datadok, Metadb
Analyse - Vardok, Stabas and About the statistics
Disseminate - Metadata portal, About the statistics, About the data collections, StatBank. Service library for metadata systems (Stabas, Vardok, Datadok, Metadb).
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Our current Adminstrative system for products, projects and processes is linked to management and budgeting.