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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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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?
Challenges Riding the big data wave Increasing cost & difficulty of acquiring data New competitors & changing expectations Competition for skilled resources Reducing budget Rapid changes in the environment
These challenges are too big for statistical organisations to tackle on their ownWe need to work together
GSBPM Generic Statistical Business Process Model Generic Statistical Information Model
The problem we are trying to solve NSI 1 Survey A Survey B Disseminate Process Collect Analyse
Enterprise Architecture helps you get to this NSI 1 Survey B Survey C Survey A Process Collect Analyse Disseminate
Difficult to share and reuse! Disseminate Canada Sweden ? Process Collect Analyse ?
CSPA makes it easier to share and reuse! Canada Disseminate ? Collect Analyse Process Sweden ?
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.
The concept of Plug and Play • A Statistical Service: • Is self contained • Standardised input and outputs • Can easily be used and reused
The Proof of Concept Editrules CANCEIS Blaise G Code SCS • 5 Countries played the role of Builders (Sprint 3) • 3 countries played the role of Assemblers (Sprint 4)
2 Strands to the project Architecture Proof of Concept
Wiki • Perfect for multiple thread discussions • Central repository • You see the latest updates.
Virtual Meetings • Web conferencing • Free for participants • Screen Sharing • Time- zone differences are a challenge
Wrapped the services Button Done
Items to Code Matches Codes French Kiwi New Zealander Maori Aussie French New Zealander New Zealander Maori Australian 310456 111235 111235 123658 455555
Result? Result?
Result? Result!
Result? Case Study
Result! Result!
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
What is currently happening • 10 Production CSPA services • More countries contributing • Training modules developed
Questions Link: http://www1.unece.org/stat/platform/display/VSH/Virtual+Standards+Helpdesk