United Nations Economic Commission for Europe Statistical Division Standards and Statistical...

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

Standards and Statistical Production Architectures

Steven ValeUNECE

steven.vale@unece.org

High-Level Group for the Modernisation of Statistical Production and Services

Created by the Conference of European Statisticians in 2010

10 heads of national and international statistical organisations

Background

The Challenges

Increasing cost &

difficulty of acquiring

data

New competitors & changing

expectations

Rapid changes in the environment

Competition for skilled resourcesReducing

budget

Riding the big data

wave

These challenges are too big for statistical organisations to

tackle on their own

We need to work together

Using common standards, statistics can be produced

in a more efficient way

No domain is special!

Do new methods and toolssupport this vision, or do they

reinforce a stove-pipe mentality?

Common genericstatistics production

GSBPM GSIM

Methods Technology

StatisticalConcepts

InformationConcepts

StatisticalHowTo

ProductionHowTo

Standards-based modernization

Projects

2012

2013

GSBPM – Standard Processes

GSIM and GSBPM

GSIM describes the information objects and flows within the statistical business process.

So what is GSIM?

A reference framework of information objects:• Definitions

• Attributes

• Relationships

GSIM aligns with relevant standards such as DDI and SDMX

GSIM gives us standard

terminology

“support the enhancement and implementation of the

standards needed for the modernisation of statistical production and services”

Components

Implementing GSIM Mapping GSIM to DDI and SDMX Reviewing / revising GSBPM and GSIM Links to geo-spatial standards

• New task team to assess the role of geo-spatial standards in the modernisation of official statistics

Training and advocacy

Aims

Increased: interoperability through sharing processes

and components ability to find real collaboration opportunities ability to make international decisions and

investments sharing of architectural design, knowledge and practices

Historically statistical organisations have developed specialised processes and systems

How does architecture help?

Many statistical organisations are modernising using Enterprise Architecture

It can help to remove silos and improve collaboration across an organisation.

EA helps you get to this

Disseminate

…but if each statistical organisation works in isolation…..

NSI

1Collect Process Analyse Disseminate

Surv

ey A

Surv

ey B

NSI

2 Surv

ey A

Surv

ey B

?

?

…but if statistical organisations work together

An industry architecture will make it easier to standardise and combine the components of statistical production,

regardless of where they are built

NSI

1Collect Process Analyse Disseminate

Surv

ey A

Surv

ey B

NSI

2 Surv

ey A

Surv

ey B

?

?

Lego pieces could be:

Brand newWrapped

legacy/existing

An industry architecture is:

“a set of agreed common principles and standards

designed to promote interoperability in an industry”

“an architecture template for statistical production”

“a common vocabulary to discuss implementations”

Proof of Concept

Demonstrate the process of working together

Demonstrate business viability to senior management

Prove the value of the architecture

Catalogues

Do you want to get involved?

Projects• Sprints / virtual task teams / reviews

Other activities / project proposals?

Let us knowsupport.stat@unece.org

More information

HLG Wikiwww1.unece.org/stat/platform/display/hlgbas

Linked Group

Business Architecture in Statistics