The document discusses using data to improve implementation of India's Right to Education Act. It summarizes how an organization: 1) Aggregated data from 1.4 million schools across India to analyze compliance with RTE norms like classroom size. 2) Partnered with another group to create an interactive scorecard showing each district's RTE performance to raise awareness of gaps. 3) The scorecard helped garner over 430,000 signatures for their education campaign and increased media coverage of insufficient RTE implementation.

1. Right to Education
Aggregating, analyzing, and mapping data
from 1.4 million schools across India
with
| case study

2. The
Problem1
6 million students in India are out of
school, despite the Right to Education Act

3. In 2009, India passed the
Right to Education (RTE)
Act.
The act guarantees that
every child from ages 6-14
has the right to free and
compulsory education.
It also sets certain norms
and rules to fulfill this right
to education for every child.
Creation of barrier-free
classrooms for students with
special needs
25% reservation of seats in
all private schools for
students from economically
disadvantaged communities
No more than 30 students per
teacher
At least 1 classroom per
student

4. However, as of 2015,
only 8%
of schools in India complied with all RTE norms,
and 6 million children are still out of school.

5. “Inequality in India is rising at an alarming rate, putting the
future of our country at stake. Education is the greatest
equalizer against inequality. By ensuring full implementation
of RTE Act, we can achieve two things — quality education
for all children and reduction in inequality.”
Deepak Xavier
Head of Haq Banta Hai campaign
Oxfam India

6. Our
Solution2
Creating an interactive scorecard on RTE
implementation across the country

7. Oxfam partnered with
SocialCops to build awareness
around RTE gaps and show
Members of Parliament where
their districts were falling short.
Our data intelligence
platform was used to create
an interactive scorecard with
each district’s performance on
key RTE indicators.
Overview

8. The absence of unintended changes or errors in some data. Integrity implies
that the data is an exact copy of some original version, e.g. that it has not been
corrupted in the process of being written to, and read back from, a hard disk or
during transmission via some communications channel.
data jack (ˈdadǝ jak) n.
1. A wall-mounted or desk-mounted connector (frequently a wide telephone-style
8-pin RJ-45 ) for connecting to data cabling in a building.
Data Intelligence
data intelligence (ˈdadǝ inˈtelǝjǝns) n.
1. The process of transforming all available data — collected from the ground up,
sourced from external data sets, and extracted from elaborate internal systems —
into intelligent insights that make the best decision crystal clear.
2. The only logical way to make a decision in the twenty-first century.
data link layer (ˈdadǝ lingk ˈlāər) n.
1. Layer two, the second lowest layer in the OSI seven layer model. The data link
layer splits data into frames (see fragmentation ) for sending on the physical
layer and receives acknowledgement frames. It performs error checking and re-
transmits frames not received correctly. It provides an error-free virtual channel
to the network layer. The data link layer is split into an upper sublayer, Logical

9. Our Platform
brings the entire decision-making process to one place.
It makes even the toughest decision faster and easier.
Access
external data
Collect data
from the ground up
Connect your
internal data
Visualize data and
find insights
Transform
and clean data
• Geospatial analysis
• KPI tracking
• Geoquerying
• Strategic planning

10. Our Platform
Data about 1.4 million schools — including 150 data points on
each school’s infrastructure, classroom-teacher ratio, pupil-teacher
ratio, and other RTE parameters — was sourced from Access.
Transform aggregated school-level data at a district level, then
assigned weights to each parameter to create an overall RTE-
compliance score for each of India’s 640 districts.
The RTE-compliance score was visualized on an interactive
map-based dashboard. This made it easy for government officials
and the public to find places with poor RTE compliance and
understand where each district was falling short.
Access
Visualize
Transform

11. Our Process
1 2 3 4
Data
cleaning
Data
aggregation
Score
creation
Data
visualization

12. Data points mined and
processed
430,000+
Signatures on Oxfam’s
campaign
348 million
2015
Year of deployment
240
Data points per school
philanthropy
sector involved

13. The
Story3
Making sense of 348 million data
points across 1.4 million schools

14. Data Aggregation
1 2 3 4
Data from DISE (the District
Information System for
Education) was pulled from
Access. The data covered 240
indicators, including…
Student-teacher ratio
Student-classroom ratio
Toilet facilities for boys and girls
Library facilities
Ramp facilities
Playgrounds
Drinking water
Access

15. Data Aggregation
1 2 3 4
Access
Our data goes through
extensive verification and
cleaning before being added to
Access.
Data from everywhere
Data was sourced from PDF files, web
pages, text files, images, and Excel files in
the most obscure corners of the internet.
Data triangulation
Complex algorithms were used to match
data across many disparate, inconsistent
data sets, all to zoom in on the right data
points.
Trustworthy data
Every data set was cleaned, checked for
completeness and accuracy, and
prioritized based on its relevance.

16. Data Cleaning
1 2 3 4
After all the data was
aggregated, it was cleaned
and verified on Transform.
Transform
Consistency checks
Includes intra-variable checks (checking
each variable for incorrect values) and
inter-variable checks (ensuring that data
across variables and geographies is
consistent).
Data quality assurance
All other checks needed to ensure
complete accuracy, including vertical
aggregations, missing value checks, and
external validations.
Geographic aggregation
Each data point needed to be matched with
the correct district (using a master list of
geographic standards), then all the data for
each district had to be merged into a single
data set.

17. Score Creation
1 2 3 4
For easier insights, a single
score was calculated for
each district, and the districts
were ranked by score.
The score provides a simple,
quick way to…
assess the status of RTE
implementation in a given
district
understand how each district
compares to other districts in
the state or the entire country
Transform

18. Data Visualization
1 2 3 4
Visualize
Using Visualize, all of the
cleaned, verified data was
visualized in an interactive
dashboard with…
district comparisons
interactive scorecard
search capabilities

19. Data Visualization
Examine data for each
districtVisualize
1 2 3 4

20. Data Visualization
Identify high and low-
performing districtsVisualize
1 2 3 4

21. Data Visualization
Find the relevant
Ministers of ParliamentVisualize
1 2 3 4

22. The
Results4
Using data to raise awareness on
critical education gaps

23. In March 2015, Oxfam India launched the dashboard as part of its
Haq Banta Hai (Even It Up) campaign. The campaign has
collected over 430,000 signatures since then.

24. The dashboard was
covered in the media
and earned fans and
praise on social media.

25. “SocialCops is great at sourcing and visualizing data, but
what is even more helpful was their immense support as a
thought partner while designing our campaign!”
Tamseel Hussain
Digital Communications
Oxfam India

26. About
SocialCops5

27. Recognition
We’ve garnered widespread support since our start in 2013.
2015 and 2016 “40 Under 40” list
- Forbes India: 2015 “30 Under 30” list
- Forbes Asia: 2016 “30 Under 30” list
- Recognized as one of the top 10 emerging startups
by Prime Minister Modi
- Selected as one of the 35 startups to visit Silicon
Valley with Prime Minister Narendra Modi for the
India-U.S. Startup Konnect in 2015
and more…
- United Nations World Youth Summit Award
- Global Social Entrepreneurship Competition
- IBM/IEEE Smart Planet Challenge
- Singapore International Foundation
- Young Social Entrepreneurs
- Aseanpreneurs Idea Canvas

28. Press and Media
We’ve garnered widespread support since our start in 2013.
Data intelligence can be used to confront the
world’s most critical problems and make a
truly data-driven decision.
Indian Management
Tracking data that solves problems is their
mission.
Economic Times
I am thrilled with the pioneering work that
SocialCops is doing. We are limited only by
our imagination in terms of how technology
can address the challenges facing humanity.
Manoj Menon, managing director (Southeast Asia) of
Frost & Sullivan
SocialCops is taking big data in a direction
that very few companies have been able to
do: providing data and insights that can help
solve real problems for most of the planet.
Pankaj Jain, Partner at 500 Startups

29. Thank You!
For more information or to request
a demo of our platform, check out
www.socialcops.com.
hello@socialcops.com
@Social_Cops