2013 HLG Project: Common Statistical Production Architecture.

Slides:



Advertisements
Similar presentations
Summary of Participant Interview Themes for GSIM Sprint 1 7 February 2012.
Advertisements

HLG, November 2013 By Jonathan Challener INTERNATIONAL COLLABORATION USE CASE: THE OECD’S STATISTICAL INFORMATION SYSTEM COLLABORATION COMMUNITY.
GSIM, CSPA, and Related Activities of the High-Level Group
United Nations Economic Commission for Europe Statistical Division High-Level Group Achievements and Plans Steven Vale UNECE
Implementing CSPA compliant guidelines
United Nations Economic Commission for Europe Statistical Division Modernisation Maturity Model Steven Vale UNECE
GSBPM and GSIM as the basis for the Common Statistical Production Architecture Steven Vale UNECE
International Collaboration to Modernise Official Statistics
Enterprise Architecture Ben Humberstone Office for National Statistics, UK Workshop on the Modernisation of Statistical Production April 2015.
United Nations Economic Commission for Europe Statistical Division Standards-based Modernisation An update on the work of the High-level Group for the.
Common Statistical Production Architecture An statistical industry architecture will make it easier for each organisation to standardise and combine the.
The future of Statistical Production CSPA. We need to modernise We have a burning platform with: rigid processes and methods; inflexible ageing technology;
GSIM Stakeholder Interview Feedback HLG-BAS Secretariat January 2012.
NSI 1 Collect Process AnalyseDisseminate Survey A Survey B Historically statistical organisations have produced specialised business processes and IT.
How to make EA-work impact everyday-work – the Statistics NZ story? Workshop on the Modernisation of Statistical Production April 2015.
United Nations Economic Commission for Europe Statistical Division Standards and Statistical Production Architectures Steven Vale UNECE
United Nations Economic Commission for Europe Statistical Division International Collaboration to Modernise Official Statistics Steven Vale UNECE
United Nations Economic Commission for Europe Statistical Division The Common Statistical Production Architecture: An Important New Tool for Process Standardisation.
Marco Oksman SDMX Transformation Component Applying CSPA.
United Nations Economic Commission for Europe Statistical Division High-Level Group Achievements and Plans Steven Vale UNECE
Statistical Metadata Strategy and GSIM Implementation in Canada Statistics Canada.
The future of Statistical Production CSPA. 50 task team members 7 task teams CSPA 2015 project.
Modernisation Activities DIME-ITDG – February 2015 Item 7.
Aim: “to support the enhancement and implementation of the standards needed for the modernisation of statistical production and services”
Generic Statistical Information Model (GSIM) Jenny Linnerud
Information about the HLG work Some considerations on HLG and related work from an NSI point of view Rune Gløersen, Statistics Norway.
GSIM, DDI & Standards- based Modernisation of Official Statistics Workshop – DDI Lifecycle: Looking Forward October 2012.
1 1 Improving interoperability in Statistics Some considerations on the impact of SDMX MSIS 2011 Luxembourg 23 – 25 May 2011 Rune Gløersen IT Director.
HLG MOS Flexibility and Adaptability HLG MOS Workshop November 24, 2015 The Hague Pádraig Dalton 1.
The future of Statistical Production CSPA. This webinar on CSPA (common statistical production architecture) is part of a series of lectures on the main.
19-20 October 2010 IT Directors’ Group meeting 1 Item 6 of the agenda ISA programme Pascal JACQUES Unit B2 - Methodology/Research Local Informatics Security.
GSIM-variables Modernisation Comittee on Strandards.
United Nations Economic Commission for Europe Statistical Division GSBPM and Other Standards Steven Vale UNECE
The future of Statistical Production CSPA. We need to modernise We have a burning platform with: rigid processes and methods; inflexible ageing technology;
United Nations Economic Commission for Europe Statistical Division The High-Level Group: Modernisation of Statistical Production and Services Steven Vale.
Statistical Modernisation Community Padraig Dalton 8 March
Statistical process model Workshop in Ukraine October 2015 Karin Blix Quality coordinator
United Nations Economic Commission for Europe Statistical Division Standards-based Modernisation Steven Vale UNECE
Managing Enterprise Architecture
United Nations Economic Commission for Europe Statistical Division Achievements and Plans of the High-Level Group for the Modernisation of Official Statistics.
Bert Kroese and Trevor Fletcher, on behalf of HLG Interim Project Board.
Eurostat Keynote address - CSPA implementation What's in it for us? CSPA implementation Workshop, Geneva June 2016, Day 2 Emanuele Baldacci, Director.
United Nations Economic Commission for Europe Statistical Division CSPA: The Future of Statistical Production Steven Vale UNECE
ESS Enterprise Architecture Reference Framework Jean-Marc Museux, Eurostat 2016 UNECE CSPA Workshop on CSPA Geneva
Modernisation Story of Statistics Slovenia
Common Statistical Production Architecture
Achievements in 2016 Data Integration Linked Open Metadata
Joint UNECE/Eurostat CSPA workshop
Italian National Institute of Statistics Modernisation Story
Country use cases: Cambodia, and Tunisia
Understanding the communities readiness to transform
IT Directors Meeting November 2012
GSBPM, GSIM, and CSPA.
Statistical organisations should use standardised and industrial processes for the production of statistics in order to be more efficient. The statistical.
Modernising Official Statistics
The problem we are trying to solve
CSPA: The Future of Statistical Production
SISAI STATISTICAL INFORMATION SYSTEMS ARCHITECTURE AND INTEGRATION
Generic Statistical Information Model (GSIM)
The future of Statistical Production
ESTP Training Course “Enterprise Architecture and the different EA layers, application to the ESS context ” Rome, 16 – 19 October 2017.
ESS.VIP.SERV Shared Services
Introduction to the Common Statistical Production Architecture Alice Kovarikova High-Level Workshop on Modernization of Official Statistics, Nizhny Novgorod,
CSPA Common Statistical Production Architecture Motivations: definition and benefit of CSPA and service oriented architectures Carlo Vaccari Istat
CSPA Common Statistical Production Architecture Motivations: definition and benefit of CSPA and service oriented architectures Carlo Vaccari Istat
ESS Enterprise Architecture
process and supporting information
High-Level Group for the Modernisation of Official Statistics
Standardisation activities in the statistical community
Presentation transcript:

2013 HLG Project: Common Statistical Production Architecture

The problem 2 big barriers that hinder modernisation of statistical organisations are: Rigid processes and methods; and Inflexible and ageing technology environment.

NSI 1 Collect Process AnalyseDisseminate Survey A Survey B Historically statistical organisations have produced specialised business processes and IT systems

Now we have an agreed conceptual basis to move forward on, we can focus on “How To”

Desired Project Outcomes Increased: interoperability in Official Statistics through the sharing of processes and components ability to find real/genuine collaboration opportunities ability to make international decisions and investments sharing of architectural/design knowledge and practices

How does Architecture help? Many statistical organisations are modernising and transforming using Enterprise Architecture Enterprise architecture shows what the business needs are, where the organisation wants to be and aligns the IT strategy to this. It can help to remove silos and improve collaboration across an organisation.

NSI 1 Collect Process Analyse Survey A Survey B Survey C EA helps you get to this Disseminate

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

Canada Collect Process Analyse Disseminate Sweden …we get this….

Canada Collect Process Analyse Disseminate Sweden ? ? This makes it hard to share and reuse!

…but if statistical organisations works together?

Common Statistical Production Architecture An industry architecture will make it easier for each organisation to standardise and combine the components of statistical production, regardless of where the statistical services are built

An industry architecture is: “set of agreed common principles and standards designed to promote interoperability in an industry” “an architecture template for statistical production” “common vocabulary to discuss implementations” “enables the vision and strategy of an industry, showing a clear picture of how to get there”

It has 4 layers Business Architecture Information Architecture Application Architecture Technology Architecture

Based on Service Oriented Architecture A Statistical Service: is a representation of a business activity with a specified outcome is self contained performs a task in a business process can be reused in a number of business processes

Based on Service Oriented Architecture Project is sometimes called “plug and play” Statistical service is the pluggable bit The idea is that installing a new statistical service should be easy

Collect Process AnalyseDisseminate ? ? Sweden Canada This makes it easier to share and reuse!

Lego pieces could be: Brand new Wrapped legacy/existing

Architecture Sprint!

Design Artefacts

GSIM and GSBPM-processes GSIM object instances GSIM object structures (formats) GSIM object structures (formats) GSBPM - process

GSBPM – Compliance GSIM – Compliance Architectural Pattern Quality Attributes Statistical Service

User Stories Architecture gives an industry strategy Gives common To Be state for statistical organisations Helps statistical organisations to transition Aligns roadmaps to achieve future industry vision International investment Catalogues show what statistical services exists Genuine collaboration opportunities Collaborating Adapting an existing statistical service or designing new ones Hosting/Deploying services available to all organisations Influencing vendors to align to industry requirements

Proof of Concept Demonstrate the process of working together Advantages in cooperation Demonstrate business viability to senior management There are benefits to pursuing this Show it is feasible Give energy to idea Prove the value of the Architecture Here is something that we could not do before

Get involved! Anyone is welcome to contribute to this work. CSPA v0.1 is out for public review until 17 May: play/msis/CSPA+v0.1