Book page

Enterprise Architecture (EA) for official statistics 1st edition - 2024

Enterprise Architecture (EA) for official statistics 
Course LeaderNadia Mignolli
Target GroupBusiness architects; IT managers responsible for the design of new processes and innovative IT systems; Statistical survey managers; Statisticians and Technicians involved in statistical production processes.
Entry Qualifications
  • Trainees should have a sound command of English and should be able to make short interventions and to participate in discussions actively, sharing experiences and best practices.
  • Trainees should be able to illustrate examples from their respective experiences, with a focus on Trusted Smart Statistics in their NSIs.
Objective(s)

This Course aims at:

  • defining the reference framework of data generated by smart devices, technologies, networks and their relations with official statistics, also comparing NSIs’ different situations (different level of integration, etc.);
  • introducing the main concepts, frameworks and artefacts to carry out Enterprise Architecture for official statistics;
  • focussing on the Business Architecture Model/Activity model within NSIs, orientating it to ongoing modernisation changes and related mainly to innovative data sources, Big Data, new data;
  • explaining how to apply and map GAMSO to new business models for official statistics, innovative sources and Big Data;
  • explaining how to map GSBPM to the statistical processes related to innovative data sources;
  • providing an overview of the main statistical and technical guidelines, best practices, and standards as pre-requisites for the implementation of EA and BREAL;
  • focussing on the context of Big data REference Architecture and Layers – BREAL;
  • providing theoretical training to develop BREAL;
  • promoting group discussions on topics such as setting up a capability assessment and roadmaps for acquiring and benefiting from ESS shared investments.
Contents

The course will focus on essentials of EA approaches covering the following topics:

  • Definition of the reference framework of data generated by smart devices, technologies, networks and their relations with official statistics.
  • Business-outcome driven Enterprise Architecture: why and how.
  • Enterprise Architecture layers in brief:
  • Business Architecture;
  • Information Architecture;
  • Application Architecture;
  • Technology Architecture.
  • Introduction to the ArchiMate modelling structures and their practical usages.
  • Business Architecture (BA) concepts and components, focussing on modernisation changes related mainly to innovative data sources, Big Data, new data:
  • BA Business Lines;
  • BA Activity Model.
  • GAMSO shared infrastructures and guiding principles:

-       instrument for standardisation, quality enhancing and modernisation;

  • mapping new business models for official statistics, innovative sources and Big Data;
  • sharing experiences in using architectural frameworks
  • Generic Statistical Business Process Model (GSBPM): standard model and use case.
  • GSIM: introduction and use case.
  • Common Statistical Production Architecture (CSPA): overview and templates for sharing services.
  • The ESS EA Reference Framework (EARF) for Trusted Smart Statistics.
  • BREAL (Big data REference Architecture and Layers):
  • Business layer;
  • Application and Information layers;
  • Examples of solution architectures.
  • Enterprise Architecture: open challenges and perspectives for official statics and trusted smart statistics.
Expected Outcome

At the end of the Course, trainees will be able to:

  • propose the adoption of EA and BREAL within their respective organisations;
  • facilitate the development of an EA compliant with the ESS EA Reference Framework;
  • understand some best practices, standards and guidelines that facilitate modernisation processes and the change of paradigm represented by Trusted Smart Statistics.
Training Methods
  • Power point presentations and lectures
  • Exchange of views/experiences on national practices
  • Comments and discussion on schemes and other digital materials
  • Exercises
  • Work in pairs and in small sub-groups
Required ReadingNone
Suggested Reading

https://ec.europa.eu/eurostat/cros/content/trusted-smart-statistics-motivations-and-principles_en

https://statswiki.unece.org/display/GAMSO/Generic+Activity+Model+for+Statistical+Organizations

https://statswiki.unece.org/display/GSBPM/Generic+Statistical+Business+Process+Model

https://ec.europa.eu/eurostat/cros/content/ess-enterprise-architecture-reference-framework_en

https://statswiki.unece.org/display/CSPA/Common+Statistical+Production+Architecture

http://www.opengroup.org/archimate/

http://www.archimatetool.com/

Required PreparationTrainees should be able to illustrate examples from their respective experiences and practices, with a focus on Trusted Smart Statistics in their NSIs.
Trainer(s)/

Lecturer(s)
Nadia Mignolli; Mauro Bruno; Mauro Scanu; Giorgia Simeoni, Donato Summa (all from Istat).

 

 1st edition

 

Practical Information    
WhenDurationWhereOrganiserAPPLICATION VIA National Contact Point
19 – 22.03.20243,5 daysRome, Italy

ICON INSTITUTE

Public Sector GmbH

Deadline: 22.01.2024