COMMON STATISTICAL PRODUCTION ARCHITECTURE WHERE ARE WE June

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COMMON STATISTICAL PRODUCTION ARCHITECTURE WHERE ARE WE ? June 2106 By Bruno URBAN

COMMON STATISTICAL PRODUCTION ARCHITECTURE WHERE ARE WE ? June 2106 By Bruno URBAN

From a “siloed” organization … Project board v 1 Project board H 2 Project

From a “siloed” organization … Project board v 1 Project board H 2 Project board H 1 Team V 1 Team H 2 Team H 1 Roles • Functional analysis • Technical analysis • Development • Support Specific • Methodology • Practice • Environment • Technology Shared aspects … common methodologymid set … Production Directorate vertical Production/Dissemination systems Dissemination Statistical horizontal systems

. . to a “practice building” orientated organization Prince 2 (project board) + Agile

. . to a “practice building” orientated organization Prince 2 (project board) + Agile User Relationship Practice building • • • Stakeholder Relationship • • Smart Data Framework Data and tool migration • • • Back log management Community Management Agility Management 6 months vision 4 sprints packages Performance monitoring Incident Management Software architecture 2 Scrum Teams 2 weeks sprints 1 demo Product/Project Management • • • Supplier Relationship Business Process Analysis Advanced Seminar User/community support Product Vision Project Management Product Analysis Solution building • • • Technical vision Product development/support • Technical Proof of Concepts • Development methodology Production Dissemination

SDMX flows between layers and systems Front end team focused on • the reusable

SDMX flows between layers and systems Front end team focused on • the reusable web components’ framework • reusable web components • Java. Script applications Reusable Web Components (React + Redux) JS App. SDMX Json SDMX Back end team focused on: • the NSI connectors • on the Json format support in SDMXSource • common structure/data management tool SDMX Dissemination Production SDMX Eurostat SDMX NSI Web Service (using SDMX Source) Common structure/data management SDMX Storages will be exposed as services Java. Script SDMX library Worflow & State Engine (exposed as a service)

SDMX flows for data collection & analysis Survey & Questionnaire tools OECD Data, wizard

SDMX flows for data collection & analysis Survey & Questionnaire tools OECD Data, wizard (Excel plugin) Version 2 WS Survey 22 Production tool External sources SDMX IMF SDMX Version 1 SDMX Etc. Version 1 Production SDMX Eurostat SDMX NSI Web Service (using SDMX Source) Eurostat SDMX Source library Dissemination

Next steps • • • Finish SDMX implementation Calculation engine (exposed as a service)

Next steps • • • Finish SDMX implementation Calculation engine (exposed as a service) Metadata management (exposed as a service) Mark. Logic used as a storage for all qualitative data (first) Use big data strategies/infrastructure for data collection/analysis/dissemination (parallel computing, etc. )