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ENABLING DATA-DRIVEN
REAL-TIME GOVERNANCE
Outline
1. The problem we are solving
2. Our platform
3. Data visualization capabilities
4. Data cleaning, preparation, and analytics
capabilities
5. Data collection capabilities
6. Case studies
It’s difficult to find answers today…
How are villages changing
over time?
Where is the money
being spent?
What is the progress
across sectors?
How are different
outcomes affected?
DEPARTMENTS ARE
NOT SYNCED
DATA STORED IN
HARD COPIES
DATA STORED IN
MULTIPLE FORMATS
TOO MANY
DATABASES
DATA IS NOT
SEARCHABLE
DATA IS DIFFICULT
TO CONSUME
How is data changing
over time?
MIS
Softwares
Department
reports
Online
Portals
NIC
Apps
Department
Officers
Beneficiaries
Organizations
One
Centralized
Platform
Information is in silos. Can it be joined?
?
The only data platform that
can do it all.
SocialCops’ platform puts all data in one central platform
and lets you use this data in different ways.
An end-to-end decision-making platform
CENTRAL
DATABASE
MIS, department
databases, and
other relevant
databases
Real-time cleaning
and processing
engine
Machine learning
algorithms
generating insights
Action tracking
mechanisms
Multi-structured
big data analysis
Field
inspectors
Web
data entry
MIS
database
PDFs,
Excel
SMS, IVRS,

USSD
Real-time
querying
In-depth
searching
Web
dashboard
Mobile
dashboard
Regular
reports
1. Raw data and
data sources
2. Data transformation, analysis,
and management
3. Data
visualization
DATA VISUALIZATION
CAPABILITIES
1
Categories of visualizations
Multi-parameter
dynamic querying1
Village level
multi-indicator
mapping
2 Dynamic index
generation3
Hyper local
geo-clustering4 Natural language
enabled querying5 Household level
GPS mapping6
Instant filter-
enabled reports7 Real-time data
aggregation8
Progress
monitoring and
tracking
9
Village level multi-indicator mapping1
Select
parameters1
Colored geo-
clusters2
Multi-parameter geo-querying
The villages matching
the query are coloured
green.
2
Select multiple
queries1Change queries2
Instantly see
results3
Real-time dashboard aggregation
Select GP, block,
district, etc.1
Change tabs to
see more details2
Download data or
graph3
3
Household-level GPS mapping
Select required
indicator3
Choose a
household2
Zoom into the
households1
4
Progress monitoring and tracking
Select a village
name1
Search for any
specific indicator2Download
custom reports3
5
Hyper local geo-clustering
Select indicators1Zoom into areas2
Click to get more
information3
6
Natural language querying
Type out a query1 Filter your data2
Generate relevant
graphs3
7
Instant filter-enabled reports
Select an
indicator1 Select datasets2 Generate graphs
and reports3
8
Dynamic index generation
Select a district1
Click to see in-
depth indicators2Hover over to get
quick insights3
9
DATA CLEANING, PREPARATION, &
ANALYTICS CAPABILITIES
2
Load datasets and
highlight changes in
the columns
1
Select operation from
automatic
suggestions
2
Record required
operations and clean
similar datasets
3
Categories of analytics
Multi-polar cloud-
based analytics1
Machine learning
algorithms2
Trajectory data
mining & pattern
recognition
3
Predictive
analytics4
Cognitive
computing5
Fluid
analytics6
DATA COLLECTION CAPABILITIES
▪ Mobile app
▪ Citizen crowdsourcing
▪ Web form
▪ SMS, USSD, IVRS
3
1. Create
questionnaire on
Web Dashboard
2. Apply skip logic,
validations, and
conditionality
3. Renders Android app
in seconds
4. Enter accurate data
offline
Citizen-based crowdsourcing app
deployed for Swachh Bharat Mission
CASE STUDIES
We are proud to have deployed our platform for over
150+ organizations in 7+ countries.
PROBLEM STATEMENT
Developing budgets and aligning village development
plans to create a model constituency for 264 villages
Government of AP (Krishna district) and
Tata Trusts leveraged our platform to
conduct census data collection and analyze
the data in real time.
Spread
1 million people, 264 villages
Granularity
Household level
Step 1
Data Collection
Via our mobile-based data collection
platform
Step 2
Data Quality Checks and
Analysis
Happening in real time
Step 3
Data Visualization
Map-based dashboard (village level)
Map-based querying
Village profile dashboard
Household level geo-dashboard
1
A dashboard showing schemes eligibility for
households in a village in Vijayawada
PROBLEM STATEMENT
Tracking progress of the Sansad Adarsh Gram Yojana in
real time from 700 villages
Ministry of Rural Development is leveraging
our platform to track the progress of and
monitor impact for SAGY villages
Spread
700 villages
Granularity
Village level
Step 1
Data Collection
Via our mobile and web-based data
collection platform
Step 2
Data Quality Checks &
Analysis
Happening in real time
Step 3
Data Visualization
Real-time dashboard for tracking and
progress indicators
2
A dashboard showing real-time village
progress using data filled by nodal officers.
PROBLEM STATEMENT
Comparing Right To Education parameters across India to
understand which districts need more funds and attention
Oxfam India leveraged our platform to
visualize secondary education data across
150+ indicators
Spread
14 lakh schools
Granularity
District level
Step 1
Data Aggregation
150+ variables
Step 2
Data Indexing, Cleaning,
and Preparation
Happening in real time
Step 3
Data Visualization
Map-based dashboard (district
level)
Map-based comparison
3
A dashboard comparing districts across India
with RTE indicators
PROBLEM STATEMENT
Knowing which districts to invest in to improve quality of
life for small and marginal farmers in India
The Bill and Melinda Gates Foundation
leveraged our platform to visualize
secondary agriculture data across 233
indicators
States
Bihar, Odisha, and Uttar Pradesh
Granularity
District level
Step 1
Data Aggregation
2000+ variables
Step 2
Data Indexing, Cleaning &
Preparation
Happening in real time
Step 3
Data Visualization
Map-based dashboard (district level)
Map-based comparison
4
A dashboard comparing districts on agriculture
parameters
PROBLEM STATEMENT
Increase efficiency and effectiveness of delivery of key RMNCH
+A services to improve healthcare facilities in UP
Acting as BMGF’s Technical Support Unit,
IHAT set out to improve primary care
services. This required continuous
assessment of the current state of facilities
and competency of staff.
Spread
1113 healthcare facilities across 150 blocks
in Uttar Pradesh
Step 1
Preliminary Data Collection
Via our mobile-based data collection
platform
Step 2
Monitoring of Facilities
Facilities monitored over 4 cycles with a
time period of about 6 months per cycle
Step 3
Assessment
5
Helping Indian Health Action Trust to collect labor
monitoring data to curtail maternal mortality
Collect captures more than 400 delivery-related data points in real-time in
Uttar Pradesh. One survey can last even 28 hours.
PROBLEM STATEMENT
Using mobile technology to optimize disaster relief efforts
during the Nepal Earthquake6
Step 1
Registering donors
Via our mobile-based data collection
platform
Step 2
Generating e-receipts
Based on the information entered,
Goonj donors receive an e-receipt via
SMS or email.
Step 3
Tracking of relief material
Goonj, an NGO, focuses on providing relief
material to disaster-stricken areas by
mobilizing inventory at large scale.
Spread
Operations supported over 3 months
GOONJ uses Collect to manage internal logistics and
disaster relief operations for the Nepal Earthquake.
GOONJ turns over 5,00,000 kg of throwaway waste into traditional
mattresses/quilts across 21 Indian states.
Featured on Fortune’s 2015
and 2016 lists of 40 under
40.
RECOGNITION
Featured on Forbes India’s
2015 list of 30 under 30.
One of the top 10
emerging companies of
2015.
Including:
United Nations World Youth Summit Award
Microsoft Global Social Entrepreneurship Competition
IBM Smarter Planet Challenge & some more from IITs,
IIMs & NUS.
The work we’ve
done at the
intersection of
technology, data
and people to have
a positive influence
on society have won
us awards at the
global level.
Rajan Anandan
Managing Director, Google India
Investor & Advisor
“In terms of scale, from his portfolio,
Rajan Anandan (MD, Google India) is
particularly bullish on SocialCops.
SocialCops sees its five-year goal as
being able to power products like
Google Maps with social data” –
Economic Times
Dr. Hema Divakar
Former President,
Federation of
Gynecological Societies of
India
Anurag Banerjee
General Manager,
Mobilewalla APAC
(Previously MD, Jana)
Naman Pugalia
Previously Policy Advisor,
Google India
OUR ADVISORS
Bernise Ang
Singapore Woman of the
Year 2011, Founder, SYINC
Carol Sanford
Innovation Advisor
Google; Award Winning
Author
Pankaj Jain
Venture Partner,
500 Startups
OUR ADVISORS
Manoj Menon
Managing Director,
Frost and Sullivan APAC
Investor & Advisor
“We are limited only by our imagination in
terms of how technology can address the
challenges facing humanity. SocialCops is well
poised to play an important role in helping
shape a better future”
“IT’S CREATING A VOICE FOR THE
PEOPLE”
- Fast Company
“TRACKING DATA THAT SOLVES
PROBLEMS IS THEIR MISSION”
- Economic Times
“DATA SOURCED FROM THE
GRASSROOTS AND INSIGHTS
FROM IT CAN YIELD FOCUSED
AND SPEEDY PUBLIC INTEREST
DECISION MAKING”
- LiveMint
PRESS & MEDIA
150+ 

Organizations



7+ 

Countries



40 Million 

Primary data points 



1 Billion 

Secondary data points

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Enabling Data-Driven Real-Time Governance

  • 2. Outline 1. The problem we are solving 2. Our platform 3. Data visualization capabilities 4. Data cleaning, preparation, and analytics capabilities 5. Data collection capabilities 6. Case studies
  • 3. It’s difficult to find answers today… How are villages changing over time? Where is the money being spent? What is the progress across sectors? How are different outcomes affected? DEPARTMENTS ARE NOT SYNCED DATA STORED IN HARD COPIES DATA STORED IN MULTIPLE FORMATS TOO MANY DATABASES DATA IS NOT SEARCHABLE DATA IS DIFFICULT TO CONSUME How is data changing over time?
  • 5. The only data platform that can do it all. SocialCops’ platform puts all data in one central platform and lets you use this data in different ways.
  • 6. An end-to-end decision-making platform CENTRAL DATABASE MIS, department databases, and other relevant databases Real-time cleaning and processing engine Machine learning algorithms generating insights Action tracking mechanisms Multi-structured big data analysis Field inspectors Web data entry MIS database PDFs, Excel SMS, IVRS,
 USSD Real-time querying In-depth searching Web dashboard Mobile dashboard Regular reports 1. Raw data and data sources 2. Data transformation, analysis, and management 3. Data visualization
  • 8.
  • 9. Categories of visualizations Multi-parameter dynamic querying1 Village level multi-indicator mapping 2 Dynamic index generation3 Hyper local geo-clustering4 Natural language enabled querying5 Household level GPS mapping6 Instant filter- enabled reports7 Real-time data aggregation8 Progress monitoring and tracking 9
  • 10. Village level multi-indicator mapping1 Select parameters1 Colored geo- clusters2
  • 11. Multi-parameter geo-querying The villages matching the query are coloured green. 2 Select multiple queries1Change queries2 Instantly see results3
  • 12. Real-time dashboard aggregation Select GP, block, district, etc.1 Change tabs to see more details2 Download data or graph3 3
  • 13. Household-level GPS mapping Select required indicator3 Choose a household2 Zoom into the households1 4
  • 14. Progress monitoring and tracking Select a village name1 Search for any specific indicator2Download custom reports3 5
  • 15. Hyper local geo-clustering Select indicators1Zoom into areas2 Click to get more information3 6
  • 16. Natural language querying Type out a query1 Filter your data2 Generate relevant graphs3 7
  • 17. Instant filter-enabled reports Select an indicator1 Select datasets2 Generate graphs and reports3 8
  • 18. Dynamic index generation Select a district1 Click to see in- depth indicators2Hover over to get quick insights3 9
  • 19. DATA CLEANING, PREPARATION, & ANALYTICS CAPABILITIES 2
  • 20.
  • 21. Load datasets and highlight changes in the columns 1 Select operation from automatic suggestions 2 Record required operations and clean similar datasets 3
  • 22. Categories of analytics Multi-polar cloud- based analytics1 Machine learning algorithms2 Trajectory data mining & pattern recognition 3 Predictive analytics4 Cognitive computing5 Fluid analytics6
  • 23. DATA COLLECTION CAPABILITIES ▪ Mobile app ▪ Citizen crowdsourcing ▪ Web form ▪ SMS, USSD, IVRS 3
  • 24.
  • 25. 1. Create questionnaire on Web Dashboard 2. Apply skip logic, validations, and conditionality 3. Renders Android app in seconds 4. Enter accurate data offline
  • 26. Citizen-based crowdsourcing app deployed for Swachh Bharat Mission
  • 27. CASE STUDIES We are proud to have deployed our platform for over 150+ organizations in 7+ countries.
  • 28. PROBLEM STATEMENT Developing budgets and aligning village development plans to create a model constituency for 264 villages Government of AP (Krishna district) and Tata Trusts leveraged our platform to conduct census data collection and analyze the data in real time. Spread 1 million people, 264 villages Granularity Household level Step 1 Data Collection Via our mobile-based data collection platform Step 2 Data Quality Checks and Analysis Happening in real time Step 3 Data Visualization Map-based dashboard (village level) Map-based querying Village profile dashboard Household level geo-dashboard 1
  • 29. A dashboard showing schemes eligibility for households in a village in Vijayawada
  • 30. PROBLEM STATEMENT Tracking progress of the Sansad Adarsh Gram Yojana in real time from 700 villages Ministry of Rural Development is leveraging our platform to track the progress of and monitor impact for SAGY villages Spread 700 villages Granularity Village level Step 1 Data Collection Via our mobile and web-based data collection platform Step 2 Data Quality Checks & Analysis Happening in real time Step 3 Data Visualization Real-time dashboard for tracking and progress indicators 2
  • 31. A dashboard showing real-time village progress using data filled by nodal officers.
  • 32. PROBLEM STATEMENT Comparing Right To Education parameters across India to understand which districts need more funds and attention Oxfam India leveraged our platform to visualize secondary education data across 150+ indicators Spread 14 lakh schools Granularity District level Step 1 Data Aggregation 150+ variables Step 2 Data Indexing, Cleaning, and Preparation Happening in real time Step 3 Data Visualization Map-based dashboard (district level) Map-based comparison 3
  • 33. A dashboard comparing districts across India with RTE indicators
  • 34. PROBLEM STATEMENT Knowing which districts to invest in to improve quality of life for small and marginal farmers in India The Bill and Melinda Gates Foundation leveraged our platform to visualize secondary agriculture data across 233 indicators States Bihar, Odisha, and Uttar Pradesh Granularity District level Step 1 Data Aggregation 2000+ variables Step 2 Data Indexing, Cleaning & Preparation Happening in real time Step 3 Data Visualization Map-based dashboard (district level) Map-based comparison 4
  • 35. A dashboard comparing districts on agriculture parameters
  • 36. PROBLEM STATEMENT Increase efficiency and effectiveness of delivery of key RMNCH +A services to improve healthcare facilities in UP Acting as BMGF’s Technical Support Unit, IHAT set out to improve primary care services. This required continuous assessment of the current state of facilities and competency of staff. Spread 1113 healthcare facilities across 150 blocks in Uttar Pradesh Step 1 Preliminary Data Collection Via our mobile-based data collection platform Step 2 Monitoring of Facilities Facilities monitored over 4 cycles with a time period of about 6 months per cycle Step 3 Assessment 5
  • 37. Helping Indian Health Action Trust to collect labor monitoring data to curtail maternal mortality Collect captures more than 400 delivery-related data points in real-time in Uttar Pradesh. One survey can last even 28 hours.
  • 38. PROBLEM STATEMENT Using mobile technology to optimize disaster relief efforts during the Nepal Earthquake6 Step 1 Registering donors Via our mobile-based data collection platform Step 2 Generating e-receipts Based on the information entered, Goonj donors receive an e-receipt via SMS or email. Step 3 Tracking of relief material Goonj, an NGO, focuses on providing relief material to disaster-stricken areas by mobilizing inventory at large scale. Spread Operations supported over 3 months
  • 39. GOONJ uses Collect to manage internal logistics and disaster relief operations for the Nepal Earthquake. GOONJ turns over 5,00,000 kg of throwaway waste into traditional mattresses/quilts across 21 Indian states.
  • 40. Featured on Fortune’s 2015 and 2016 lists of 40 under 40. RECOGNITION Featured on Forbes India’s 2015 list of 30 under 30. One of the top 10 emerging companies of 2015.
  • 41. Including: United Nations World Youth Summit Award Microsoft Global Social Entrepreneurship Competition IBM Smarter Planet Challenge & some more from IITs, IIMs & NUS. The work we’ve done at the intersection of technology, data and people to have a positive influence on society have won us awards at the global level.
  • 42. Rajan Anandan Managing Director, Google India Investor & Advisor “In terms of scale, from his portfolio, Rajan Anandan (MD, Google India) is particularly bullish on SocialCops. SocialCops sees its five-year goal as being able to power products like Google Maps with social data” – Economic Times Dr. Hema Divakar Former President, Federation of Gynecological Societies of India Anurag Banerjee General Manager, Mobilewalla APAC (Previously MD, Jana) Naman Pugalia Previously Policy Advisor, Google India OUR ADVISORS
  • 43. Bernise Ang Singapore Woman of the Year 2011, Founder, SYINC Carol Sanford Innovation Advisor Google; Award Winning Author Pankaj Jain Venture Partner, 500 Startups OUR ADVISORS Manoj Menon Managing Director, Frost and Sullivan APAC Investor & Advisor “We are limited only by our imagination in terms of how technology can address the challenges facing humanity. SocialCops is well poised to play an important role in helping shape a better future”
  • 44. “IT’S CREATING A VOICE FOR THE PEOPLE” - Fast Company “TRACKING DATA THAT SOLVES PROBLEMS IS THEIR MISSION” - Economic Times “DATA SOURCED FROM THE GRASSROOTS AND INSIGHTS FROM IT CAN YIELD FOCUSED AND SPEEDY PUBLIC INTEREST DECISION MAKING” - LiveMint PRESS & MEDIA
  • 45. 150+ 
 Organizations
 
 7+ 
 Countries
 
 40 Million 
 Primary data points 
 
 1 Billion 
 Secondary data points