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

GSBPM and GSIM as the basis for the Common Statistical Production

Architecture

Steven ValeUNECE

steven.vale@unece.org

Standards-based Modernisaton

135 28%

43%34,600

Problem statement:Specialised business processes, methods and IT systems for each survey / output

Applying Enterprise Architecture

Disseminate

... but if each statistical organisation works by themselves ...

... we get this ...

.. which makes it hard toshare and reuse!

… but if statistical organisations work together to define a common

statistical production architecture ...

... sharing is easier!

Layers of Architecture

InformationBusinessProcess

Methods Technology

GSIMGSBPMGSIM

Service Outputs

ServiceService Inputs

informs informs

enablesbusiness process

Service defined by methods and business need

informs

Generalised Statistical Production System

Conceptual

Practical

Standards Basede.g. DDI, SDMX

GSBPM defines the “shape”

GSIM defines the interfaces

CSPA Service

2013 - CSPA development project

Architecture Proof of Concept

The Proof of Concept

5 countries built CSPA services

3 countries implemented them

What did we prove?

CSPA is practical and can be implemented by various agenciesin a consistent way

You can fit CSPA statisticalservices into existing processes

Statistics New Zealand (Workflow)

Istat (CORE)

CSPA does not depend on aspecific technology platform

Statistics New Zealand (Workflow)

Istat (CORE)

You can swap out CSPA compliant services easily

Statistics New Zealand (Workflow)

You can re-use the same statistical service by configuration

Survey A

Survey B

Statistics Sweden (Workflow -Triton)

Project Outcomes

The CSPA approach works

It promises increased:• sharing• interoperability• collaboration opportunities

Some licensing issues!

2014 – CSPA Implementation

Services built

1. Seasonal adjustment – France,Australia, New Zealand

2. Confidentialised analysis of microdata – Canada, Australia

3. Linear error localisation – Netherlands

4. Linear rule checking – Netherlands

5. Error correction – Italy

6. Statistical chart generator – OECD

7. SDMX transform – OECD

8. Sample selection – Netherlands

Architecture Working Group:Australia, Austria, Canada, France, Italy, Mexico, Netherlands, New Zealand, Turkey, Eurostat

Catalogue team:Australia, Canada, Italy, Hungary, New Zealand, Romania, Turkey, Eurostat

Architecture Working Group

Meetings every fortnight

25 Definition, Specification and Implementation reviews

30 architectural and implementation issues

Update of CSPA framework

CSPA Global Artefact Catalogue

Support efficient sharing and reuse of process patterns, information and services at an organization and international level

Allow users to reliably and efficiently discover what is available for reuse to support a particular business need

Allow users to assess whether services are "fit for purpose" to support a particular business need

Five layers of the CSPA Global Artefact Catalogue

2015 – CSPA Goes Live!

Main activities

1 Governance - management of CSPA and determining if services are CSPA compliant

2 Support to implementers - guidelines, templates and a helpdesk

3 More services – based on the priorities identified by project partners

4 Catalogue – transition from wiki prototype to full version hosted by Eurostat

Call for participation in project teams

Alignment with ESS Vision 2020

Alignment of CSPA (GSIM and GSBPM) and the implementation of the new ESS Vision is a key priority

From a CSPA perspective, the implementation of the ESS Vision is an excellent opportunity to test CSPA on a larger scale and to further develop it

Summary

Each standard can be used by itself

but

There is greater value in using them as a set of linked standards

More information:

CSPA Wiki

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