Data Driven Cities. May 19th 2018. Data Driven Innovation 2018. Engineering Department, University of Roma Tre

1. Giuseppe Sindoni – Chief Data Officer
DIREZIONE SISTEMI INFORMATIVI E AGENDA DIGITALE
1May 2018
A data driven approach
to urban digitalization

2. Agenda
1 The Vision and strategic imperatives
3 Current innovation projects, Open Data and Big data
2 Project areas supporting the Vision
2

3. ICT today: organization and competences
DIRECTOR
PROJECT
GOVERNANCE AND
PMO
SECRETARIAT
INFORMATION
SECURITY AND
TECHNOLOGICAL
INNOVATION
APPLICATION
SYSTEMS AND
INFRASTRUCTURE
DATA
MANAGEMENT
AND
INTEGRATION
DIGITAL LEAD
SPECIAL IT PROJECTS
▪ Application management and
maintenance
▪ Application interoperability
▪ ICT infrastructure maintenance
▪ Telecommunication services
▪ EA1 design and control
▪ UX2 of services to the City users
▪ Data architecture
▪ Statistics and Data analytics
▪ IOT e Big Data
▪ Information security policies
▪ Authentication systems
▪ Business continuity and Disaster
Recovery
▪ Contract management
6
Managers
208
Staff
ORGANIZATION
MAIN COMPETENCES
1. Enterprise Architecture
2. User experience
ADMINISTRATION,
TENDERS AND
CONTRACTS
3

4. Our Digital Plan is based on a Vision inspired by
the strategic goals of the City Council and AGID
4

5. Adoption of an EA model to shift from an «island-like»
architecture to an integrated and interoperable one
THE NEW IT SYSTEM IN THE ENTERPRISE ARCHITECTURE…
Business
Functions
Applications
Tecnology
… THROUGH COBIT DEVELOPMENT PRACTICES
High level EA
▪ Definition of an architecture development vision,
identification of benefits and competences
▪ Reference architecture for each level with connections
needed for data sharing and interoperabilty
▪ Opportunities and projects choose according to
structural requirements
▪ Well defined development and implementation plan,
according to stakeholders’ expectations
▪ Clear and efficient project governance
Implementation of development practices started in 2018
COMPETENCEAREA
ICTDIVISIONMUNICIPALITY
5

6. Agenda
1 The Vision and strategic imperatives
3 Current innovation projects, Open Data and Big Data
2 Project areas supporting the Vision
6

7. Main projects:
✓ SISA
✓ SUEV
✓ SIBri
✓ SUE
✓ SUAP
✓ PAGO-PA
✓ PON B-E
Introduce and develop new
types of service or delivery
mode influencing
heterogeneous population
needs
SERVICES TO THE
CITY-USER Main projects:
✓ SIB
✓ OGW
✓ Tributi
✓ PON A
Make internal processes
more efficient, to simplify
procedures and enforce more
transparency
ADMINISTRATIVE
PROCESSES, BUDGET
AND TAXES
SECURITY AND MOBILITY
Improve monitoring and
operational tools used by
the police corps
Main
projects:
✓ GRI/AVL
✓ SCTT
✓ Gestione
Polizia
Locale
Introduce and extend application and infrastructure
standards, leveraging data integration and application
harmonization
CROSS-CATHEGORY
PROJECTS
Main projects:
✓ ERP
✓ Documentale
✓ Interoperabilità
✓ Cyber security
✓ Evoluzione infrastrutture
Contribute to the consolidation of information in standard
architectures more easily accessible by the final user and the
Public Administration
PORTALS AND INFORMATION
Main projects:
✓ Portali
✓ Fascicolo del Cittadino
✓ Open Data
✓ SIT e Location Intelligence
✓ PON C-D
The current and future projects contributing to the
Vision implementation divided into macro-categories
7

8. INTEROPERABILITY
LOCATION
INTELLIGENCE AND
GIS
PORTALS
BUSINESS INTELLIGENCE
▪ Business analysis and advanced reporting through interoperability
and «cloud» sharing
ARTIFICIAL INTELLIGENCE
▪ Improve the user Experience and the application efficiency through
integration with AI and RPA (Robotic Process Automation) systems
REAL TIME GEO-REFERENCING
▪ Improve the ability of GIS to manage geo-referenced data in real
time: eg. on real estates and subsoil
Some projects are already launching innovation,
according to the strategic Vision
8

9. Agenda
1 The Vision and strategic imperatives of DSIAD
3 Current innovation projects, Open Data and Big Data
2 Project areas supporting the Vision
9

10. Interoperability platform
DATA INTEROPERABILITY PLATFORM
Implementing application cooperation across information systems through the improvement of the legacy
platform and the modernization of the data management services
▪ Data Framework:
➢ Enterprise Information Management (EIM)
➢ Master Data Management model
➢ Data Analytics Framework (DAF)
▪ Data Services:
➢ Specific services to provide data through WSO2
➢ Information asset census
➢ Adoption of a Master Data Management model
➢ Implementation of a Data Analytics Framework (DAF)
▪ Data Application:
➢ Citizen Folder and Open Data
➢ Shared Welfare system
➢ Service model for the «020202» infoline
The first web sevices for for data integration are under development
10

11. Work in progress
• Open Data and integrated Statistical System
• GDPR
• Data Lake
• MDM
• European projects
• Geo Portal

12. Interoperability: Master Data Management
• A unique and authoritative view on data, available to
applications
Master Data Management
• Master Data can be easily updated, also at run time.
• Avoids duplication of data covering the same content,
preventing errors
• For example, population or geographic data
Work in progress

13. The new Open Data portal
Version 2.6
dati.comune.milano.it
Comune di Milano’s data portal
Published on 20
December 2017
291
DATASETS
National Metadata
Profile
13

14. Features of CKAN
14
Automatic RDF catalog
generation
Integrated
DCAT_AP-IT metadata
compilation
Managing multiple
formats of the same
dataset
Customizable through
extensions
Profiled user management
Connection to external
resources as required
Supports harvesting
Publishes APIs natively

15. Data management
15
Management, maintenance and improvement of the open
information asset
▪ Analysis of other PAs’ best practices (Lombardy, Palermo, Bologna)
▪ Design of a data exchange protocol
▪ Municipal regulation to lay down rules and commitments
▪ Automatization
Data owner
DSIAD – Open Data development Unit
High level process flow
Data source to
be publisced
Data
Cleaning
Standard
metadata setting
Shared definition
of the structure
and update
frequency
Agreement on
the
information
flow
Integration of
additional
sources
Work in progress
Data owner Data owner

16. European Interoperability projects
Some European projects in which CdM is involved are based on the collection of data for monitoring
purposes. Data orchestration with an interoperability platform can be important for project coordination.
EUGUGLE
Optimization of elements and systems influencing energy and water consumption in public offices
DYNAMAP
A dynamic mapping system to measure and represent in real time the acoustic impact of road
infrastructures
CLEVER
Co-creation, implementation and manageent of NBS (Nature Based Solutions) to show environmental,
social and economic improvements of urban regeneration
SHARING CITIES
Identification, development and dissemination of replicable, balanced and integrated solutions in the
energy, transport and ICT sectors
SYNCHRONICITY
Large scale experimentation, in specific city areas, of IoT services to support cirizens in solve relevant
problems in the metropolitan area
Work in progress

17. 17
Monet EMS
App App
App
FEDERATION
E015 DIGITAL
ECOSYSTEM
App
INTEROPERABILITY
PLATFORM OF THE
MUNICIPALITY OF
MILAN
App
Interoperability and the Sharing Cities project
Work in progress

18. The project is aimed at providing an «ID card» of the Milan area, taking data from and supporting the
operational processes. Geographic intelligence tools are provided to both internal and external
operators, policy makers and stakeholders.
Geoportal: geoportale.comune.milano.it
Geo-
intelligence
tools
Data
input
Land and subsoil use
Service plan
Real estate development
…
Processes
Regional geo-portal
Ministries’ DBs
Other PAs’ DBs
Private DBs
ExternalDBs
▪ Real time data access
▪ Administrative tasks optimization
▪ Process speeding
▪ Information sharing
▪ Data driven decisions
▪ Multi-score approach
▪ Full knowledge of the municipal
areas
▪ Stakeholder satisfaction
Strategic benefits Operational benefits
Work in progress
Data
input

19. Where are the
big data?

20. 20

21. Specific big data projects
• Using telco data to analyse city
users and their movements
• Using credit card data to analyse
expenditure trends in the city
• Putting everything together for
Added value
and
Benchmarking
21