HLG-MOS, Nizhny Novgorod, June 2014 Experiences with CSPA.

Slides:



Advertisements
Similar presentations
Business Architecture
Advertisements

Summary of Participant Interview Themes for GSIM Sprint 1 7 February 2012.
HLG, November 2013 By Jonathan Challener INTERNATIONAL COLLABORATION USE CASE: THE OECD’S STATISTICAL INFORMATION SYSTEM COLLABORATION COMMUNITY.
GSBPM and GSIM as the basis for the Common Statistical Production Architecture Steven Vale UNECE
Revision IMS 5043 IT in Organisations. Week 1 The perspective of Senior Managers Effective, efficient, minimise risk, competitive advantage IT Manager’s.
Enterprise Architecture Ben Humberstone Office for National Statistics, UK Workshop on the Modernisation of Statistical Production April 2015.
Managing Information: Information Technology Architecture Infsy 540 Dr. R. Ocker.
Common Statistical Production Architecture An statistical industry architecture will make it easier for each organisation to standardise and combine the.
Corporate Governance for SMEs SME Success Series – September 2013 Rami Raslan - GradICSA Senior Corporate Secretary.
The future of Statistical Production CSPA. We need to modernise We have a burning platform with: rigid processes and methods; inflexible ageing technology;
Project Management Office
GSIM Stakeholder Interview Feedback HLG-BAS Secretariat January 2012.
From Strategy to Practice
NSI 1 Collect Process AnalyseDisseminate Survey A Survey B Historically statistical organisations have produced specialised business processes and IT.
Make your move Kirkcaldy Inspiring and Encouraging More Walking and Cycling Fife Council and Sustrans are working in partnership to encourage more walking.
Introduction and key issues identified in the papers UNECE Conference of European Statisticians June 2015 Second Seminar, Session I.
Standardisation Informal summary of ABS Perspective.
Background to the Generic Statistical Information Model (GSIM) Briefing Pack December
DELIVERING ENVIRONMENTAL WEB SERVICES (DEWS) Partners: UK Met Office (Lead Partner), British Atmospheric Data Centre (BADC), British Maritime Technology.
1 HLG-BAS workshop Session III Questionnaire responses of the HLG-BAS related groups A. Born / A. Götzfried / J.M. Museux.
Modernisation in Istat Nadia Mignolli Italian National Institute of Statistics (Istat) Department for Integration, Quality, Research and Production Networks.
Project Management Culture: Implementing Change Martyn Upton, Project Office.
1 High-Level Group for the Modernisation of Statistical Production and Services Annual Workshop Gosse van der Veen, Statistics Netherlands 2013 Geneva.
2011 Geneva High Level Group for Strategic Developments in Business Architecture in Statistics Workshop outcomes (as seen from the HLG-BAS group) Gosse.
1 Sobah Abbas Petersen Adjunct Associate Professor TDT4252 Modelling of Information Systems Advanced Course TDT4252, Spring 2011 Lecture.
The future of Statistical Production CSPA. 50 task team members 7 task teams CSPA 2015 project.
Michelle Simard, Thérèse Lalor Statistics Canada CSPA Project Manager UNECE Work Session on Statistical Data Confidentiality Helsinki, October 2015 Confidentialized.
The use of GSIM in Statistics Norway Jenny Linnerud Senior Adviser Department of IT Statistics Norway 10th June 2014, Nizhny Novgorod.
Modernisation Committee on Production and Methods Plans for 2016.
Aim: “to support the enhancement and implementation of the standards needed for the modernisation of statistical production and services”
2013 HLG Project: Common Statistical Production Architecture.
1 The GSBPM and ESS statistical business process metadata Session 4 H. Linden, Unit B6 Eurostat Workshop on Statistical Metadata (METIS) (Geneva, 5-7 October.
1of 20 MSIS 2014 – Dublin Panel on CSPA Monica Scannapieco – Carlo Vaccari (Istat – Italy)
On Implementing CSPA Specifications for Editing and Imputation Services Donato Summa, Monica Scannapieco, Diego Zardetto, Istat, Italy Istituto Nazionale.
The future of Statistical Production CSPA. This webinar on CSPA (common statistical production architecture) is part of a series of lectures on the main.
Summary of HEP SW workshop Ian Bird MB 15 th April 2014.
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;
Project Management Enabling Quality Marien de Wilde, PMP April 2007.
Statistical Modernisation Community Padraig Dalton 8 March
Managing Enterprise Architecture
Bert Kroese and Trevor Fletcher, on behalf of HLG Interim Project Board.
ROMA 23 GIUGNO 2016 MODERNISATION LAB - FOCUSSING ON MODERNISATION STRATEGIES IN EUROPE: SOME NSIS’ EXPERIENCES Insert the presentation title Modernisation.
INEGI´s Plans for CSPA Role of CSPA in the INEGI’s ITC Strategic Plan.
United Nations Economic Commission for Europe Statistical Division CSPA: The Future of Statistical Production Steven Vale UNECE
Adopting CSPA and CORE in Istat: the role of Enterprise Architecture Mauro Bruno, Monica Scannapieco, Marco Silipo Istituto Nazionale di Statistica - Istat.
ESS Enterprise Architecture Reference Framework Jean-Marc Museux, Eurostat 2016 UNECE CSPA Workshop on CSPA Geneva
Role of CSPA in the INEGI’s ICT Strategic Plan
Common Statistical Production Architecture
EI Architecture Overview/Current Assessment/Technical Architecture
Business Case National Accounts Production System – Services (NAPS-S)
HLG-MOS Moving to the Next Level
Italian National Institute of Statistics Modernisation Story
ERASMUS+ PROJECT Project management & Project writing
The role of statistical standards in Building National Data Backbones
CSPA.
Teaching with Instructional Software
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.
The problem we are trying to solve
CSPA: The Future of Statistical Production
ESS Standardisation DIME / ITDG steering group – Item for information
ESS.VIP.SERV Shared Services
The future of Statistical Production
TF Meeting Service Catalogue / Input to Expert Group on Sharing Tools
Introduction to the Common Statistical Production Architecture Alice Kovarikova High-Level Workshop on Modernization of Official Statistics, Nizhny Novgorod,
Data Architecture project
Tomaž Špeh SURS TF SERV, Luxembourg,
ESS Enterprise Architecture
High-Level Group for the Modernisation of Official Statistics
Presentation transcript:

HLG-MOS, Nizhny Novgorod, June 2014 Experiences with CSPA

CSPA status in Stat Netherlands – CSPA is rather new … – SN participated in GSBPM, GSIM and CSPA efforts ‐ GSIM sprints 1, 2 & integration V1.0 ‐ GSIM sprint V1.1 ‐ CSPA Architecture Sprint ‐ CSPA PoC: delivered (wrapped) a service ‐ CSPA project 2014: will deliver 3 services – Some advocates, but general adoption by internal organisation is slow – SN does not have any CSPA compliant services in production yet 2

No CSPA services yet … 3

CSPA is promising, but it does not … – … help to identify the “right” building blocks – … help solve the conflicts of interest (short – long term) – … help build trust in service providers – … tell us how to change behaviour – It’s hard to identify the scope and granularity of services – Business process owners have short term interests – Business process owners want total control over their process; therefor they are reluctant to “outsource” or become dependent on others for the execution of their process – Business and IT alike need to change (culture, behaviour) – Shared software and services need support 4

Start at the business layer – Business process developers need to start designing processes in a different way. – Experience at SN shows that this in itself delivers benefits (MUST: hrs rebuild -> hrs total redesign) – For this, process developers need to be re-trained. ‐ GSIM is not the first priority. GSBPM helps, but learning to think in terms of “standard process steps” is key. – Re-use of building block “concepts” will help others, but requires change of behaviour: documenting, sharing 5

IT comes next, but can start preparing – CSPA still allows a lot of freedom, further standardisation is needed for technical platforms and protocols. – Most NSI’s do have their own infra standards – Most NSI’s (like SN) do not have an orchestration infra – What approach for selecting the services to invest in? ‐ Darwinistic “survival of the fittest”, vs ‐ Planned “blueprint” ‐ CSPA investor role? – Despite many attempts (MSIS) software sharing is not a major success … 6

Summary – CSPA is still rather new – SN is still struggling to understand and find an approach – Many questions still need to be answered, many obstacles still to be taken, many sceptics to be convinced – But there is a growing number of people in SN that believe in the potential, and the need for change. – My advice is to start at the business layer: “business process redesign the CSPA way”. 7