Innovazione di processo e infrastrutturale per la gestione degli indicatori delle statistiche economiche e degli aggregati di Contabilità nazionale
http://www.istat.it/it/archivio/193422
Monica Scannapieco - MEC - Servizio Architettura integrata dei dati e dei processi
1. Enterprise Architecture dell’Istat: Considerazioni
sulla Diffusione degli Output delle Statistiche
Economiche e di Contabilità Nazionale
Monica Scannapieco
MEC - Servizio Architettura integrata dei dati e dei processi
DCME - DIREZIONE CENTRALE PER LA METODOLOGIA E IL DISEGNO DEI
PROCESSI STATISTICI
Seminario: «Innovazione di processo e infrastrutturale per la
gestione degli indicatori delle statistiche economiche e degli
aggregati di Contabilità nazionale»
2. Sommario
Introduzione all’EA e all’ESS EARF
Focus sulla fase di diffusione dell’EARF
La diffusione delle statistiche economiche
e di Contabilità Nazionale
2
3. Che cosa è l’EA?
3
1. EA è l’architettura di un’impresa
– Metafora architettura edile
– P.O.L.D.A.T.
2. EA consente di proiettare lo stato presente di
un’organizzazione in uno futuro «definito»
– EA è un piano di transizione
3. EA è una metodologia di gestione
– EA colma i gap tra i livelli di management e operativi
https://www.youtube.com/watch?
v=d1MPEmMBqc0
5. Eurostat: EARF
5
ESS Enterprise Architecture Reference
Framework (EARF)
ESS Vision 2020 (Maggio 2014)
"We will adopt enterprise architecture as a common
reference framework"
"Enterprise architecture is a systematic language to
describe the way our business wants to operate
and how the various components fit together. It
serves to translate our vision into implementation
strategies and priorities in a systematic way.”
ESS EARF adottata ufficialmente al
DIME/ITDG di Febbraio 2016
7. Standards & Livelli EA
EA Layer Standards involved
Layer Business Architecture GSIM, GSBPM, CSPA,
GAMSO
Layer Application Architecture/
Information Architecture
CSPA, SDMX, DDI,
Linked Metadata standards
Layer Technological Architecture SDMX, DDI,
Linked Metadata standards
8. Business Capability Model
• They represent what the ESS should/will be able to do
• The realised by a combination of Processes, People &
Organisation, Technology & Information, Methods, Standards
and Framework
Principles
• They provide norms (decision) and guidance (design) for
project architects
• They enshrine the ESS Vision 2020 values
Architecture building blocks
• They define bundle of functionalities necessary to realise the
ESS Vision 2020
• These are the basis for deciding what to share and what are
the implementation standards
ESS EARF: Principali Prodotti
9. ESS EARF: SPRA
Statistical Production Reference
Architecture:
Servizi necessari a supportare i
sottoprocessi GSBPM
Relazioni tra servizi e EARF Building
Blocks
Principi specifici delle fasi GSBPM
Scenari di realizzazione architetturale da
parte degli ESS members
11. I Building Blocks della Diffusione
• Statistical
production
• Primary Data
Storage
• Unified Metadata
• Collaboration
• Data exploration
and analysis
platform
• Process
Orchestrator
• Dissemination data
storage
• Dissemination
(platform)
• ESS Data
Exchange
12. Design Principles
(Dissemination Phase)
Adherence to Standards for data and Metadata Exchange
• Standardized file formats for data and Metadata and standardized contents of
these files are the pre-condition for the automated production, processing and
exchange of data and Metadata files between national and international
statistical organizations.
Use of data warehousing
• Data which needs to be disseminated is registered, stored and updated in
standardized form in a unified data warehouse
Control only once
• If possible, Dissemination data should only be checked and made ready for
Dissemination once in the European production chain
13. Design Principles
(Dissemination Phase)
Web service based access to Dissemination components
• Dissemination services can be accessed by another ESS partner’s
application
Aligned branding of European official statistical products
• The online Presence of ESS partners is aligned through harmonized look
& feel
User-friendly Dissemination
• The European Dissemination platform makes available best-in class
Dissemination services to end users.
15. DW
Livello Sorgenti Livello ODS Livello DW
Operational Data Store: Data Warehousing View
Livello Accesso
files
Web
Portal
operazionali
indagini
indagini
ODS
16. Livello Sorgenti Livello ODS Livello DW
Data Warehousing view
ODS nel contesto delle statistiche economiche
Livello Accesso
I.STAT
DW
competitività
Edamis
I.Stat
.csv
Microstrategy
SEP/SDMX
.csv
SIGIS
OTUPT-CN
SITIC
ODS-
STS
ODS-
SBS
ODS-CN
indagini
indagini
indagini
indagini
indagini
indagini
indagini
indagini
indagini
17. Livello Sorgenti Livello ODS Livello DW
Data Warehousing view
ODS nel contesto delle statistiche economiche
Livello Accesso
I.STAT
DW
competitività
Edamis
I.Stat
.csv
Microstrateg
y
SEP/SDM
X.csv
SIGIS
OTUPT-CN
SITIC
ODS-
STS
ODS-
SBS
ODS-CN
indagini
indagini
indagini
indagini
indagini
indagini
indagini
indagini
indagini
Dissemination
Data Storage BB
18. Livello Sorgenti Livello ODS Livello DW
Data Warehousing view
ODS nel contesto delle statistiche economiche
Livello Accesso
I.STAT
DW
competitività
Edamis
I.Stat
.csv
Microstrategy
SEP/SDM
X.csv
SIGIS
OTUPT-CN
SITIC
ODS-
STS
ODS-
SBS
ODS-CN
indagini
indagini
indagini
indagini
indagini
indagini
indagini
indagini
indagini
Dissemination
Platform BB
19. Livello Sorgenti Livello ODS Livello DW
Data Warehousing view
ODS nel contesto delle statistiche economiche
Livello Accesso
I.STAT
DW
competitività
Edamis
I.Stat
.csv
Microstrategy
SEP/SDMX
.csv
SIGIS
OTUPT-CN
SITIC
ODS-
STS
ODS-
SBS
ODS-CN
indagini
indagini
indagini
indagini
indagini
indagini
indagini
indagini
indagini
Data Exchange
BB
20. Design Principles
(Dissemination Phase)
Adherence to Standards for data and Metadata Exchange
• Standardized file formats for data and Metadata and standardized contents of
these files are the pre-condition for the automated production, processing and
exchange of data and Metadata files between national and international
statistical organizations.
Use of data warehousing
• Data which needs to be disseminated is registered, stored and updated in
standardized form in a unified data warehouse
Control only once
• If possible, Dissemination data should only be checked and made ready for
Dissemination once in the European production chain
21. Design Principles
(Dissemination Phase)
Web service based access to Dissemination components
• Dissemination services can be accessed by another ESS partner’s
application
Aligned branding of European official statistical products
• The online Presence of ESS partners is aligned through harmonized look
& feel
User-friendly Dissemination
• The European Dissemination platform makes available best-in class
Dissemination services to end users.
22. ODS: servizi operazionali trasversali
Favorisce l'interoperabilità sulle basi dati di differenti tematiche.
Interfaccia unica verso i Servizi Tecnici centralizzati per:
procedure di destagionalizzazione,
gestione della confidenzialità, primaria e secondaria,
gestione delle procedure di concatenamento,
integrazione con SDMX Istat Framework(SEP/Mapper),
generazione dei layout di comunicazione (I.STAT, SDMX,
GESMES),
alimentazione centralizzata dei sistemi di diffusione (I.STAT,
SEP, Microstrategy),
configurare routine di elaborazione/derivazione di variabili
CSPA Service:
Confidentialized
Analysis
(StatCan)
CSPA Service:
Seasonal
adjustment
(INSEE)
Data Set Re-
code-SDMX
transformer
(OCSE)
https://webgate.ec.europa.eu/fpfis/mwikis/cspacatalogue/index.ph
p/CSPA_service_catalogue
23. Conclusioni
Allineamento con molti dei principi
dell’EARF
Principi dell’Istat EA
Disegno applicativo conforme ai Building
Block
Raffinamento degli EARF BB per l’EA Istat
Valutazione sul possibile utilizzo dei
servizi CSPA
23
Editor's Notes
The ESS capabilities model – the capabilities model identify and position the key capabilities required to implement Vision 2020 – capabilities are defined as practical ability to realise a business outcome by a combination of Processes, People, Organisation, Technology & Information, Methods, Standards and Framework. It serve as an anchor model for implementing the Vision
The ESS business process model – this is a statistical process flow model which provides a generic process flow supporting the statistical value chain visualising the impact of the Vision ideas like new data source, industrialisation, data pool
The ESS EA building blocks – identify the key functional building blocks supporting the implementation of the ESS Vision 2020
Principles– these are the principles to provide norms (decision) and guidance (design) for project architects
More detailed Business Function architectures to be developed stepwise – the Business Function architectures translate capabilities, processes, building blocks, as well as design principles and standards into practical Business Function use cases