better governance through visualizing government data
TRANSCRIPT
John Doe | CEO
Sudheesh Singanamalla
@sudheesh001
About Me ?
Over 100000+ data sets from
local and national
governments of different
countries taking the step
towards public data
Open Data is Everywhere
Public data in areas like
• Transportation
• Education
• Health
• Budgets
• Electricity
• Water
There are many challenges
that a government faces
everyday over its elected
period
Challenges Faced Everyday
• Increasing population
• Uncontrollable traffic and lack of
parking areas
• Reaching out and catering to all
sectors and all economic groups of
society
• Infrastructure maintenance
Keeping personalinformation safe andsecure while at the sametime providing therequired data.
24x7 Live data abouttraffic congestions,parking areas and wastemanagement.
Open data that can be used for making better decisions.
Upcoming Data requirements for smart cities
Current problems faced by developing countries
Many developing countries currently
face problems like
• Finding out if schools have
services like drinking water
• Number of road accidents on the
roads.
• The total coverage of roads
• Finding out if the schools have
access to electricity power supply.
• Basic facilities like toilets.
Takeaways from regular public uproars and protests
Lack of public awareness about the type of the data that’s present and at the same time the way the data sets are present pose a serious challenge of How do we convey the information that the people rightfully need to know in a manner that every single citizen understands.
Protests and uproars.Women shout slogans during a protest against thegang rape and hanging of two teenage girls. Beyondhighlighting the rampant sexual violence in India, thecrimes are drawing attention to a glaring andfundamental problem across the country thatthreatens women's safety: the lack of toilets.
Source: AP
With the coming of the internet and a more educated set of people who want a better nation, the pressure on the governments is much higher and have forced many local and national governments to dump their data online under the title of open government data but this data has a few problems
The accuracy of the data that’s present on thegovernment portals of most countries is still aquestion.
The data is organized in a haphazard mannerwith no specific visualizations to support it.
The data isn’t regularly updated thus causinga lot of problems for researchers /developers / activists
Data is available, but Available ≠ Usable
Although its accessible to all, only afew with programming experience orstatistics and math can make sense ofit
Type of data out in the open
You like this kind of data ?
People affected
This kind of data affects a lot of people who do not know what kind of data they’re actually seeing, Thus arises the requirement for visualization and interactions.
Researchers,
Data scientists
JournalistsActivists, Public workers.
NGOs looking forward to create an
impact.
The govt. itself because everytime
data is required it needs someone
with e expertise to understand it
Citizens who
need answers
and have them
yet can’t
understand them
The governments also have a
problem in the long run because
decisions are taken slower as the
data has to be updated and made
sense of every time before a decision
is taken.
Are pie charts ever a good idea ?
No
Yes
A few stories of impactPercentage of schools having drinking water facilities. Interactive visualizations and transformation
of data from data formats into usable data has successfully impacted the rate at which decisions
could be taken. Within a year, there’s a larger amount of area that’s covered and impacted.
A few stories of impactPercentage of primary schools having an electricity connection.
Usage for global organizations
Usage for global organizations
Other possibilities
Why Governments should adopt to real time visualization
Faster Decisions 40%
Lesser number of protests and campaigns against the elected
leaders 25%
25% Happier citizens
10% Healthy competition within local governments and pressure to do better for its people results in a better infrastructure.
How faster decisions ?
Strategic
Dashboards
Tactical / Interactive dashboards
Operational / Static dashboards
Analysis Monitoring
Management
Data
Information
Strategy
Implementation
Current government data landscape
Creator ReuserObserver
How lesser number of complaints & happier citizens ?
Local governments pitted against each other with open data of the
work done and gives the users a chance to see the validity of the
promises made by their elected leaders before the elections.
Increased pressure due to transparency forces better performance
to keep the people happy while at the same time trying to meet the
expectations. Hence lesser complaints.
2015
2020
Visualization by itself is not enough.
Though it’s a step forward to create
awareness among the citizens, its
still not at its complete functionality
to empower citizens
Provide ways of how the
visualizations were processed
and the sources from where this
data was obtained.
Current Problems
0
4000
8000
12000
16000
2010 2011 2012 2013
Live governanceAssessment
Encoding Knowledge
Components
Taking live feed of
information, complaints and
requests from the citizens
directly and crunching the
obtained data at a central
level before being delegated
while allowing live tracking is
the public data we’re looking
out for
Use a higher level
representation of the
different components of a
visualization. Use
semantics and network
maps of data columns
instead of dumping excel
sheets or csv sheets.
Assess the requirements of
different kinds of users and
how they interact with data.
Understand their
requirements and assess the
data’s ability to filter and
provide the information as
required to a wide set of
people
Visualizations if presented as
declarative components,
instead of forcing for a code
level interaction would result
in a better understanding and
ability to create visualizations
without heavy effort or
training
Takeaways and future requirements
Thank You ! Sudheesh Singanamalla
twitter.com/sudheesh001
facebook.com/sudheesh001
References and Data sources
http://github.com/sudheesh001