Architects without borders

By Marga Lucas & Kelly Cinque

June 2014

What we will be covering

Challenge we faced

How we worked@pace using sprints

Parallel Development of Common Statistical Architecture and Proof of Concept

Use of Wiki and Web conferencing

The outcome

What next?

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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

Challenges

These challenges are too big for statistical organisations to tackle on their own

We need to work together

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GSBPM

Generic Statistical Business Process Model

Generic Statistical Information Model

NSI

1

Collect Process Analyse

Surv

ey A

Surv

ey B

The problem we are trying to solve

Disseminate

NSI

1

Collect Process Analyse

Surv

ey A

Surv

ey B

Surv

ey C

Enterprise Architecture helps you get to this

Disseminate

Cana

da

Collect Process Analyse

Swed

en ?

?

Difficult to share and reuse!

Disseminate

Common Statistical Production Architecture (CSPA)

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Collect Process Analyse

?

?Swed

enCa

nada

CSPA makes it easier to share and reuse!

Disseminate

The Approach

CSPA Sprint 1 – Ottawa April 2013• 15 people• 10 Organisations• 5 days• Result- Draft CSPA

CSPA Sprint 2 – Rome June 2013• Result - Design specification for the proof of concept.

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The concept of Plug and Play

A Statistical Service:• Is self contained• Standardised input and outputs• Can easily be used and reused

EditrulesEditrules CANCEISCANCEIS BlaiseBlaise G CodeG Code SCSSCS

5 Countries played the role of Builders (Sprint 3)

3 countries played the role of Assemblers (Sprint 4)

The Proof of Concept

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2 Strands to the project

Architecture Proof of Concept

Wiki

Perfect for multiple thread discussions

Central repository

You see the latest updates.

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Virtual Meetings

Web conferencing• Free for participants• Screen Sharing

Time- zone differences are a challenge

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Exercise

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Wrapped the services

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Button

Done

Implementation of service

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Items to Code Matches

French

Kiwi

New Zealander

Maori

Aussie

French

New Zealander

New Zealander

Maori

Australian

Codes

310456

111235

111235

123658

455555

Result? Result?

Result? Result!

Result!

Result?Case Study

Result! Result!

Result!

Result!

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What did we learn from using a Common Statistical Production

Architecture

CSPA is practical

CSPA fits into existing processes

CSPA does not prescribe

CSPA can swap

CSPA is configurable

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What is currently happening

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10 Production CSPA services

More countries contributing

Training modules developed

Questions

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Link: http://www1.unece.org/stat/platform/display/VSH/Virtual+Standards+Helpdesk