The document discusses how cities can learn from data to improve services. It outlines Barcelona's evolution with ICT from 1985 to present. Corporate data quality is key, and poor quality data can negatively impact services. External data from sensors, citizens, and other sources can complement or replace poor internal data. Collaborative data that combines internal and external sources along with open innovation can help transform public services. The Barcelona Open Challenge crowdsources solutions to city challenges through an open process.
Open Source Camp Kubernetes 2024 | Running WebAssembly on Kubernetes by Alex ...
Learning from data to increase municipal knowledge and services
1. Learning from data
to increase knowledge
EUROCITIES
Knowledge Society Forum conference
Smart & Heart Cities
Teresa Serra
TESEM S.L. General Director
www.tesem.es
OCTOBER 2015
1
2. Historical ICT evolution
City of Barcelona
1985 - 1995 1995 - 2005 2005 - 2015 2016
Public administration
Modernization
Integrated
Citizen Services
Transforming
Public Services
Looking for a smarter
and collaborative city
Reengineering
Electronic documents
Transversal processes
Decentralization
Citizen Information offices
Telephone services
www.bcn.es
Public Kiosks
eAdministration
Interoperability
Smart City
Open government
Big Data - IoT
2
3. Corporate Data
Some figures
12% 17%
25%
64%
81%
97%
Categoría 1 c Categoría 2 Categoría 3 Categoría 4 d
Senior executives
making strategic
use of data (1)
ICT employees
who value as
strategic use of
data(1)
Enterprise
database
containing
inaccuracies(2)
Companies with
poor quality
data (2)
Companies with
high growth rates
that make an
strategic use of
data(1)
Senior executives
who see the data as
a strategic priority (1)
3
(1) Source: “The data directive”. “State of CIO 2014”
(2) Source:”Informatica 2014”
4. Data Quality
Consequences
Computer
Applications
Analytics / BI
Transactions
Office
automation
Data / Information
System
Workstations
Infrastructures
…
Management
Urbanism
Finances
Social Action
Economic
Promotion
4
Data is key to the
strategy and municipal
management
6. Learning from data analysis
Corporate data
Or internal data
Produced by the organization
(municipal registers, georeferencing,
commercial activity licenses, taxes, fees…)
External data
Produced by other
organizations or sensors
(social media, web sites, data from utilities
or banking companies, statistical data…) Collaborative data
Combination of both
+ Open innovation
CHALLENGES IN ORDER TO
TRANSFORM PUBLIC SERVICES
6
7. Corporate Data
Corporate data
Or internal data
Produced by the organization
(municipal registers, geocoding, commercial
activity licenses, taxes, fees…)
Requisites: quality,
prepared to be “open
data”, guarantee of
unique data…
7
9. Incorporate external data and visualize
When the corporative
data is of poor quality
or does not exist, it
can be complemented
or replaced by external
data sources
External data
Produced by other organizations
and coming from sensors
Tourism, health, socialmedia, web sites
(quality, certification of origin…)
Example: helping inspectors finding
illegal touristic apartments
Touristic flats
permits
Inspections Census
Utilities data
(water, energy…)
Web portals
+ + + +
9
10. External information coming from IoT and sensors
Citizen as a sensor
Reliable sensors VS Certified sensors
Citizens noise map
through Mobile app
Bad examples
Study in Barcelona,
for the hotel industry,
that analyzes the
profiles of tourists
and their activities.
Good examples
Data from citizens
weather stations..
Traffic situation apps
that are based on
the information sent
by users.
10
11. Data from citizens weather stations
City of Terrassa – Barcelona Metropolitan area
11
12. Data from citizens weather stations
City of Terrassa – Barcelona Metropolitan area
12
13. Data from citizens weather stations
City of Terrassa – Barcelona Metropolitan area
13
14. Collaborative data
Collaborative data
Combination of both
Open innovation
CHALLENGES IN ORDER TO
TRANSFORM PUBLIC SERVICES
BCN | Open Challenge
http://bcnopenchallenge.org/
Programme opening up the city
administration to SMEs from
around the world to transform
public services.
By seeking solutions to the city’s challenges with a more inclusive
process, Barcelona will accelerate innovation and leverage public
spending more effectively to deliver better public services.
• Reducing bicycle thefts in the city: Barcelona is looking for a bike parking system
that enhances the security of private cycles.
• Empowering support systems to reduce social isolation: BCN is looking to
support families and healthcare professionals in the care of senior citizens to
reduce isolation and loneliness.
• Monitoring pedestrian flows in the city : Real-time data on people distribution
throughout the city enhances the management of Barcelona’s public spaces.
• Tools for digitisation of museum and archive collections : Digitisation of
Barcelona’s rich archives of books, manuscripts, photographs and other
documents will enable this unique record of Catalan culture to be better shared
with citizens.
• Automatic detection and alerts of damaged road surfaces : Responsive, efficient
road-surface management is essential for ensuring a citizen- and commerce-
friendly city.
• Empowering local retail through technology : Improving the competitiveness of
small local retail businesses by increasing their online visibility.
14
15. Conclusions
‣ The need of Data governance
‣ Ensure sustained corporate data quality
‣ Incorporating external sources with quality
guarantee of origin
‣ External data: new sources of knowledge
‣ Citizen at center of the generation of new
data and knowledge
Bon giorno a tutti! Thanks to the Fondazione Mondo Digitale, and the Eurocities Knowledge Forum conference for the invitation. Is really a pleasure to stay again between you.
More than 10 years ago in 2004 I was really involved in this network as a representative of the City of Barcelona. Many of you were there and today you are still in it.
In this period, since 2004, we have appreciate many, many changes on our cities. Some of them unpredictable, because the technological advances, but mainly because of the huge economic crisis of recent years.
I think that the expectations we had of the evolution of our cities were different from the current reality.
Any case we are all there and forums like this one, are essential to discuss and propose active policies to improve the lives of our citizens.
Thanks to continuing leading it and for your involvement!!
Coming back to my presentation, I am going to focus it on the use of data in cities and its relevance.
Just going over the history of ICT in the Barcelona council.
Although we speak of telecom Infrastructure, hardware, computer applications, workstations, we will focus on data, subject of maximum explosion in recent years (as you know).
The three big periods:
1985-1995 : Modernization of the Public Administration: the first steps of the electronic administration. Reegineering, …
(Data digitalization)
1995-2005: The ICT explosion allows the delivering of Integrated Citizen Services (Phone, kiosks, web site, IAO, …)
(Services based on data information)
2005-2015: Transforming public services. We are talking about….
(Data procedures: eAdministration, ….)
2016…: empowering citizen (participation, collaboration, …). I use the term smart Citizen, is not exactly this one, but I think it focus on the reality: involving citizens
Is the era of data analysis and getting knowledge from the huge amount of data we now have available
(External data sources: bigdata)
Some comments to this significate slide:
The first one is : the difference of ones and others of the raw reality
These on green…
These on red….
……
Data is key to the strategy and municipal management
In the IT environment we have the different layers: infrastructures, workstations, data/information system, ….
And the levels of computer applications: office automation, Transactions, Analytics and Bussiness Intelligence
The transversal services and applications to the different departments at the municipality
A lack of data quality can affect municipal services without freezing them.
In the same way as you appreciate in the picture. You can continue delivering services, but going to deteriorate gradually as the data are losing quality.
A lack of data quality can affect municipal services without freezing them.
In the same way as you appreciate in the picture. You can continue delivering services, but going to deteriorate gradually as the data are losing quality.
When we talk about the importance of data and information systems, we are referring mainly to three groups of them and their quality:
Corporate Data or internal data (produced by the organization): registers of vehicles, census, Georeferencing, licenses of commercial activity, taxes, fees, social services, ...
Important aspects: Quality, transversally, unique data guarantee, legacy requirements, ….
External data (produced by other organizations or sensors) : Tourism, social media, web sites
Important aspects: Quality, guarantee of origin, …
Collaborative data (combination of both + open innovation): Is a challenge in order to transform and improve public services
What are corporate data or internal data? as I said before is this produced by the own corporation ….
Quality requirements, legacy requirements, transversally, …
It is always mandatory to know the quality of the data and to establish actions for improvement.
Conclusions around the subject of data quality :
Corporate data of low quality is a bad base for taking your decisions
It is necessary to know the quality of the data and establish actions for its improvement
Open data government is only possible with quality data
….. Any case I think I don’t need to convince you about it.
2 examples:
Touristic apartments in the city of Barcelona (I will introduce you this case later)
Restaurant inspection information from the City of NYC in the next slide
Data produced per NYC City Health Department.
Contrary to what happens in Barcelona, it’s very easy to obtain the permit to open a restaurant in NYC.
But the city Health Department conducts unannounced inspections of restaurants at least once a year and publish the result of it in the web site of the department. With consequences….
These open and extremely sensitive data can only be displayed and treated if the maximum of quality is guaranteed. (mice, beetles, deficiencies of cleaning… all is reflected)
From them are produced maps and external applications that are visible in the network.
1.300 data set available
Is a very good example of transparency and efficacy of Public Administration
External data come from external sources, sensors...
If we analyze the case of the tourist apartments in the city of Barcelona…
Responding to the question of the former Mayor: How many touristic apartments are in Ciutat Vella (The Barcelona district with more tourism and a lot of complaints from neighbors)?
Based on internal sources: the result was not credible (150?)
Based on the network search engines (Airbnb, Booking, Atrapalo, ….): the result was really different: 2.000??
Some problems are detected :
The IT systems used bay the City council for the touristic licenses
Fraud cases
Problems in georeferencing
Empty flats
With the incorporation of external data they can support the inspection of apartments and improve the information to take decisions.
In the picture you can observe that we incorporate more information sources in order to improve the quality (coming from the utilities companies, the post office….)
Noise sensors case
Raise the question: Where is the sensor? In the bag, in the car, …? There are not reliable
Tourism study
The aim of this study, promoted by Telefónica, has been to the explore the possibilities that can offer to the sector, and especially to the hotel industry, join their market research aggregate of electronic activity of anonymous foreign tourists...
One of the main potential of this document is has been able to meet and cross data from two different companies: Telefonica Moviles Spain and BBVA. The first has provided data on the activity the foreign terminals which used the infrastructure of Telefonica during three weeks in Madrid and Barcelona; and BBVA, electronic payments by foreign cards transmitted by the network of terminals of the Bank during the same period and cities.
Terrassa examples
Traffic situation app example: it is also very reliable because the system can calculate the speed,
In the frame of the Sentilo project: the sensors map od the City of Terrassa coming from citizens weather station.
a detail of one of them
The original source: The Meteoclimatic web site.
The large network of nonprofessional automatic weather stations in real time, and an important meteorological resources directory.
If you have an automatic station and want to share your data, we invite you to participate in Meteoclimatic.
Between all stations will make Meteoclimatic a useful place to consult the data of your Observatory and follow the weather and climate of all the observatories in the field of Meteoclimatic coverage: Iberian Peninsula, the two archipelagos, southern France and near the Strait of Gibraltar to Africa...
Public procurement launch challenges that directly focuses on innovation providers, leading to faster, stronger local economic growth and tangible improvements in citizens’ lives.
In all cases Corporative data are complemented with external data and we look for innovative processes in order to improve the services
This is the case of the challenge:
Monitoring pedestrian flows in the city : Real-time data on people distribution throughout the city enhances the management of Barcelona’s public spaces.
The need of Data governance in cities, to decide and implement strategies and data policies
To ensure sustained corporate data quality
Incorporating external sources with quality guarantee of origin
External data: as a new sources of knowledge
Citizen at center of the generation of new data and knowledge