gsbpm and gamso steven vale unece [email protected]

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United Nations Economic Commission for Europe Statistical Division United Nations Economic Commission for Europe Statistical Division GSBPM and GAMSO Steven Vale UNECE steven.vale@unece. org

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Contents Overview of GSBPM Overview of GAMSO Questions Background / structure Uses Overview of GAMSO Questions

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Page 1: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

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

GSBPM and GAMSO

Steven ValeUNECE

[email protected]

Page 2: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

Contents

Overview of GSBPM• Background / structure• Uses

Overview of GAMSO• Background / structure• Uses

Questions

Page 3: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

What is the GSBPM?

Generic Statistical Business Process Model It shows the different steps needed to

produce official statistics It provides standard terminology to help

statistical organisations• Modernise statistical production processes• Share methods and components

Page 4: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

Background Defining and mapping business

processes in statistical organisations started at least 10 years ago• “Statistical value chain” X• “Survey life-cycle” X• “Statistical process cycle” X• “Business process model” X

Generic Statistical BusinessProcess Model

Page 5: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

Who created the GSBPM?

The Conference of European Statisticians Steering Group on Statistical Metadata

Part of the Common Metadata Framework• www.unece.org/stats/cmf

Page 6: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

How was it created? Based on the business process model

developed by Statistics New Zealand Added phases for:

• Archive (inspired by Statistics Canada)• Evaluate (Australia and others)

Three rounds of comments Terminology and descriptions made

more generic

Page 7: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org
Page 8: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

Result: GSBPM Version 4.0 Released April 2009

Page 9: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

Updating the GSBPM

By 2013 many organisations had adopted GSBPM – and given feedback

Related new models and standards had been developed

Agreement that GSBPM needed to be “refreshed” to maintain relevance

Page 10: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

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

Page 11: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

Result: GSBPM Version 5.0 Released December 2013

Page 12: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

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

Page 13: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

Process-oriented approach

Statistical production has traditionally been organised by topic, e.g. transport, trade, …

Financial pressures are encouraging new ways of thinking

Some statistical organisations are moving towards a process-based approach

Others are considering a matrix approach

Page 14: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

Topics P r o c e s s e s

Page 15: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

What will this mean for resources?

Page 16: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

Applicability (1)

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

All statistical domains National and international statistical

organisations

Page 17: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

Applicability (2)

Development and maintenance of statistical registers

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

statistics• Mixed sources• “Big Data”

Page 18: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

Structure of the Model (1)Process

Phases

Sub-processes

(Descriptions)

Page 19: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

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)

Page 20: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

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

Page 21: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org
Page 22: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

The GSBPM is used by more than50 statistical organisations

worldwide

Page 23: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org
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Page 25: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org
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KSBPM – Republic of Korea

Page 27: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

Beyond statistics: Data archivesGeneric Longitudinal Business Process Model

Page 28: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

Uses of the GSBPM

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

Page 29: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

GAMSO

Page 30: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

What is the GAMSO?

Generic Activity Model for Statistical Organisations

It extends and complements the GSBPM by adding other activities needed to support statistical production

Page 31: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

Background

In the GSBPM, activities not directly part of statistical production are referred to as over-arching processes, and are listed, but not elaborated in detail

There have been several calls to expand the GSBPM to better cover these activities. The GAMSO was developed to meet these needs

Page 32: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

Level 1 of the GAMSO

Page 33: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

Who created the GAMSO? The business activity model developed by

the Statistical Network provides the basis for over 70% of the content of GAMSO.

The Modernisation Committee on Standards further developed GAMSO, taking account of comments from a public consultation

GAMSO v1.0 was approved by HLG in March 2015.

Page 34: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

Production

The Production activities in GAMSO are those included in the GSBPM version 5.0

GAMSO is, by construction, fully consistent with GSBPM v5

Page 35: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

Strategy and leadership

Strategy and leadership

1.1 1.2 1.3

Define vision Govern & lead Manage strategic collaboration & cooperation

Page 36: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

Corporate support

Corporate Support

3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8 3.9 3.10

Manage business &

performance

Manage finances

Manage human

resources

Manage IT

Manage statistical

methodology

Manage information

& knowledge

Manage consumers

Manage data

suppliers

Manage buildings

& physical

space

Manage quality

Page 37: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

Capability management Capability - an ability that an organisation,

person, or system possesses Capabilities typically require a combination

of organisation, people, processes, and technology to achieve

Capability management

2.1 2.2 2.3 2.4

Plan capability improvements

Develop capability improvements Monitor capabilities Support capability

implementation

Page 38: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

Uses of GAMSO

Resource planning Measuring costs Assessing readiness to implement

different aspects of modernisation  Supporting risk management systems Implementing enterprise architecture Measuring and communicating the value

of statistical modernisation activities

Page 39: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

What next for GAMSO?

Statistical organisations starting to use it Collect feedback Review in early 2016 Revision (if needed!)

Page 40: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

Maintaining GSBPM & GAMSO

Owner = High-Level Group Maintenance is delegated to the

Modernisation Committee on Standards Discussion forums to gather feedback Importance of stability over time

• Reviews every 5 years• Revisions only if really needed

Page 41: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

More information

Virtual Standards Helpdesk

http://www1.unece.org/stat/platform/display/VSH

Page 42: GSBPM and GAMSO Steven Vale UNECE steven.vale@unece.org

Questions?