The Generic Statistical Business Process Model

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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 - PowerPoint PPT Presentation

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United Nations Economic Commission for EuropeStatistical DivisionUnited Nations Economic Commission for EuropeStatistical Division

The Generic Statistical Business Process Model

Steven ValeUNECE

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

Standard framework and harmonised terminology to help statistical organisations• Modernise statistical production processes• Share methods and components

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

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

Applicability (1)

All activities undertaken by producers of official statistics which result in data outputs

All statistical domains National and international statistical

organisations

Applicability (2)

Development and maintenance of statistical registers

All types of data source:• Surveys / censuses• Administrative sources / register-based

statistics• Mixed sources

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

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• ........ (others – see paper)

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

Mapping requested at SPECA meeting in Issyk-Kul

Fundamental Principlesof Official Statistics

The GSBPM is used by more than

50 statistical organisations

worldwide

KSBPM – Republic of Korea

Beyond statistics: Data archivesGeneric Longitudinal Business Process Model

Uses of the GSBPM

Managing statistical programmes Cost / resource allocation Documenting statistical processes Framework for quality assessment Sharing statistical software

More information

GSBPM Wiki

www1.unece.org/stat/platform/display/GSBPM