This document discusses how cities can become smarter through the use of data and sensors. It provides examples of how some cities have already started using sensors and data to improve services like traffic management, waste collection, and water usage. The solution proposed is a centralized platform that connects citizens, government agencies, and their data to help solve community problems. It suggests collecting data from citizens and government sources, analyzing the data, and connecting everyone through a common platform to improve services, track projects, and close loops with citizen feedback. The platform could also help the construction industry by collecting and analyzing data from construction sites to track progress, understand business factors, and predict risks.

1. BUILDING SMARTER CITIES
A DATA-DRIVEN WAY
built for a presentation given at
by

2. Songdo

3. Songdo
The future city of South Korea
IoT
Sensors
GPS-enabled traffic
management
Waste management

4. THE PROBLEM
The problems of 2030 will be different from the
problems of today.

5. Cities will need…
E-governance
management
Energy
management
Mobility
management
Waste
management
Water
management
Tele-education,
tele-medicine, etc.

6. Some cities have already started…
Santander, Spain
12,500 GPRS and RFID sensors; cut
energy costs by 25%
Copenhagen, Denmark
Using real-time traffic data, personal
GPS data, and weather data
Finland (Enevo Ltd)
Optimize waste collection routes
using sensors; 50% cost reduction
Dubuque, IA
Smart water pilot by using smart
metering; 6.6% savings

7. Any smart-city solution will have
these four pillars…
Citizens Technology
DataInfrastructure

8. Citizens lie at the heart of all these issues.

9. THE SOLUTION
A platform for government and
citizens to come together and
solve problems that matter.

10. Step 1: Turn local citizens into
human sensors collecting data

11. Healthcare
Education
Aadhar
Water and
sanitation
Traffic
Waste
Step 2: Turn government data into useful
information

12. Citizen Government
Analysis Platform
Step 3: Connect the two using a
common platform

13. THE OUTCOME
All information is in one place.
Everyone can find answers to their
questions in various forms.

14. Query specific data

15. Track projects and generate specific reports

16. Find the healthiest route home in seconds
Air Quality:
4.3
Air Quality:
3.2
Air Quality:
3.7

17. Allocate the budget where it is most needed

18. Close the loop with citizen feedback.
Let us know whether this visualization was helpful for you.
Give your feedback…

19. CONSTRUCTION INDUSTRY
How this platform can help the
construction industry

20. Using data to ensure that projects are
delivered on time.
1
Data from the
site every day to
understand
project progress
GPS track of the
supplies to sites
Sensors to help
you understand
machine status
Quick reports at
any given point

21. How do I plan for a project holistically?2
Add open data for
demographics, health,
economics, etc.
Layer with your own
internal data
Layer that data with
weather data
Understand the terrain &
geography of the site

22. Understanding external
factors to a project
Getting a hold of the
current business situation
Predicting weather-
related risks
Planning for geographic
constraints
How do I plan for a project holistically?2

23. Predicting risks for your business3
Time
delays
Resource
shortages
Financial
risks
Unplanned weather
changes
Cost-benefit
mismatches
Growth
obstacles

24. WHERE CAN YOU START?
These steps can immediately boost
current business.

25. Start small to get big data…
Use easy-to-use data collection systems to track what happens on
construction sites every day.
• Track employee
performance
• Resource utilization
• Machine status

26. Know your business environment…
Use existing data sources to understand what kind of potential or
challenges your geography holds.
• Infrastructure
• Economics
• Labor requirements
• Raw material availability

27. Track your business…
Understand the nuances of your business by making data from each
department talk to each other.
• Project velocities
• Fund-consumption rates
• Funds utilization by
geography
• Manpower-machine
ratios

28. CASE STUDIES
Applications of a centralized
data platform

29. Mapping public infrastructure issues to help
mayor/local administrators allocate resources
effectively
21.5 million rupees allocated
to fixing streetlights in
Ranchi
1

30. Understanding where to invest in agriculture
using 30+ open data sets2

31. Placing $95 IOT sensors on auto rickshaws to
measure air quality3

32. Understanding where to open new LPG centers
by understanding the market potential and
social need of each village
4

33. 150+
Organizations
7+
Countries
40 million
Primary data points
1 billion
Secondary data points

34. Thank You!
www.socialcops.com
richa@socialcops.com
+91-7759091029