1 / 20

The Generic Statistical Business Process Model

The Generic Statistical Business Process Model. Steven Vale UNECE steven.vale@unece.org. What is the GSBPM?. A flexible model that describes and defines the set of business processes needed to produce official statistics

judyvasquez
Télécharger la présentation

The Generic Statistical Business Process Model

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. The Generic Statistical Business Process Model Steven Vale UNECE steven.vale@unece.org

  2. What is the GSBPM? • A flexible model that describes and defines the set of business processes needed to produce official statistics • Standard framework and harmonised terminology to help statistical organisations • Modernise statistical production processes • Share methods and components

  3. Background • Developed by the Steering Group on Statistical Metadata • Part of the Common Metadata Framework • www.unece.org/stats/cmf • Version 4 released April 2009 • Version 5 released December 2013

  4. Why do we need the GSBPM? To define and describe statistical processes in a coherent way To compare and benchmark processes within and between organisations To make better decisions on production systems and organisation of resources

  5. Applicability (1) All activities undertaken by producers of official statistics which result in data outputs All statistical domains National and international statistical organisations

  6. Applicability (2) • Development and maintenance of statistical registers • All types of data source: • Surveys / censuses • Administrative sources / register-based statistics • Mixed sources

  7. Changes between v4 and v5 Policy of minimum change Only if wide agreement and good business case Removed Phase 8 (Archive) Archiving happens throughout processes Improved documentation Less survey-focused Links to newer standards e.g. GSIM More detail where requested by users

  8. Structure of the Model (1) Process Phases Sub-processes (Descriptions)

  9. Structure of the Model (2) • National implementations may need additional levels • Over-arching processes • Quality management • Metadata management • Statistical framework management • Statistical programme management • ........ (others – see paper)

  10. Key features Not a linear model Sub-processes are not followed in a strict order It is a matrix, through which there are many possible paths

  11. Mapping requested at SPECA meeting in Issyk-Kul Fundamental Principlesof Official Statistics

  12. The GSBPM is used by more than 50 statistical organisations worldwide

  13. KSBPM – Republic of Korea

  14. Beyond statistics: Data archives Generic Longitudinal Business Process Model

  15. Uses of the GSBPM Managing statistical programmes Cost / resource allocation Documenting statistical processes Framework for quality assessment Sharing statistical software

  16. More information GSBPM Wiki www1.unece.org/stat/platform/display/GSBPM

More Related