Ever wondered exactly what SocialCops can do? We've created a deck about our capabilities to help you out. Check it out for a quick rundown of exactly what we do, the capabilities of our platform, and a selection of our favorite case studies.
The Universal GTM - how we design GTM and dataLayer
SocialCops' Capabilities
1. We empower organizations to confront
the world’s most critical problems.
We partner with leading organizations to make tough decisions
easier and more effective through data intelligence.
| capabilities
www.socialcops.com
hello@socialcops.com
@Social_Cops
2. 1. 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.
We are a
Data Intelligence
company.
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
3. 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
4. Our Platform
1. Collect data from the ground up
NO CODING REQUIRED
Use our simple web editor to create any
kind of survey or data collection app.
ANDROID APP IN MINUTES
Use an Android app with a user-friendly
interface to conduct surveys in the field.
Arm your front-line workers with an Android device to collect data from the field. Collect will
persevere under the toughest conditions in the most remote corners of the world.
5. NO ENGLISH LITERACY REQUIRED
Surveys can be made in 460 languages, and the entire
app environment (including buttons and messages)
works in 12 different languages.
NO INTERNET REQUIRED
Don't get held back in remote areas. Collect data
without internet. It will sync back when internet
becomes available.
TRACK PROFILES OVER TIME
Collect is the only application that can do monitoring
— track data for a baseline profile of a person or entity
over time — without internet availability.
GEO-TAG LOCATIONS WITHOUT INTERNET
Collect can store your geographic location without
internet. Photos can also be geo-tagged or geo-
stamped for better data quality.
REAL-TIME FLAGGING OF BAD QUALITY DATA
Consistency checks (based on pre-set algorithms)
happen in real time. Then poor quality data is sent to
field for surveyors to re-collect on the app.
Our Platform
1. Collect data from the ground up
6. Our Platform
2. Access external data
Access finds, processes, and verifies thousands of data points every day.
Use this vast repository to add intelligence and context to your data.
Data points
1 billion
Census Data 2011 - Government of India - Ministry of Home Affairs
Census Data 2001 - Government of India - Ministry of Home Affairs
DISE Data 2015 - Government of India - Ministry of Human Resource Development
District Information System for Education
National Census
CSV, WEB FILE ∙ 1,292,291 HITS ∙ 532,112 ROWS ∙ 112 COLUMNS
WEB FILE ∙ 1,524,298 HITS ∙ 234,836 ROWS ∙ 78 COLUMNS
PDF, CSV, EXCEL FILE ∙ 725,273 HITS ∙ 7,254 ROWS ∙ 25 COLUMNS
Income Age Income & Education Index - India 2015
Location Type or select a locationGlobal / Filters Sorting Recently updated
Press enter
Quick Answers
Based on your search
21% 77%
of Indians live below the poverty line
2011 - Census 2011 - Census
of Indians over 60 live below the poverty line
Data sources
600
Countries covered
32
New data points added
per month
30,000
Data
Types:
Demographics
Income and Assets
Health and Nutrition
Geointelligence
Economy
Education
Agriculture
Government
7. DATA FROM EVERYWHERE
Access has extracted data from countless data types —
PDF files, obscure MS Excel files, web pages, images,
and more.
DATA TRIANGULATION
We use complex algorithms to match data across
multiple disparate, inconsistent data sets, all to zoom in
on the right data for every geography.
SCALABLE INFRASTRUCTURE
Our infrastructure can capture data from any type of
database or data source, no matter the size or
complexity.
CLEAN, HIGH-QUALITY DATA
All the data in Access has been cleaned, structured, and
tagged with a quality score.
Our Platform
2. Access external data
8. Our Platform
3. Transform and clean data
When no other data cleaning tool could withstand the challenges from the world’s ugliest data
sets, our engineers were inspired to build Transform. It can intelligently identify errors, mash
together incompatible data, and deal with even the most complex data systems.
9. AUTOMATE DATA CLEANING
Transform uses machine learning to identify issues and
suggest changes to the data. This takes away much of
the guesswork and manual effort, reducing the time
taken in processing data by up to 70%.
COMPREHENSIVE GEO-INTELLIGENCE
Transform can geo-code and reverse geocode address
data, identify geographic boundaries, and triangulate
locations from differing location APIs like Google Maps
and HERE Maps.
ENTITY RECOGNITION AND FUZZY LOGIC
Transform uses entity recognition to figure out whether a
piece of text is the name of a district, school, or person,
for example. Then Transform runs complex fuzzy logic
matches to match and de-duplicate unique entities.
CONQUER THE BIGGEST DATABASES
Transform is built for scale. Once a cleaning algorithm is
saved, it is processed on the cloud for greater speed
and lighter system use. Transform can process over 10
GB of complex, unstructured data in less than 10 mins.
Our Platform
3. Transform and clean data
10. Our Platform
4. Visualize data and find insights
No matter what decision you’re making, Visualize reveals the insights you need in seconds
through dynamic visualizations and dashboards. No spreadsheets, no analysts, no endless
meetings — just answers.
11. KEEP AN EYE ON YOUR PROGRESS
Watch progress on important KPIs, find out when you hit
important milestones, and catch problems before they
arise, all in a single dashboard.
FIND GEOGRAPHIC PATTERNS
Geographic data is impossible to understand in tables.
Put geographic data where it belongs — on a map.
Compare data across localities, districts, states, or
countries to identify patterns in seconds.
GLOBAL GRANULAR MAPS
Visualize supports maps for over 60 countries (with
more coming soon). All maps include shape files up to
the sub-district or locality level.
EXHAUSTIVE VISUALIZATION OPTIONS
Visualize supports everything from basic pie, bar, and
line charts to complex choropleth, funnel, and time
series visualizations. Layer and combine as many
charts as you like, all in one beautiful visualization.
Our Platform
4. Visualize data and find insights
12. Use Cases
One platform. Countless use cases.
LOCAL GOVERNMENT
- Unify data from all department databases
- Match local data with national government data
- Analyze and visualize impact and KPI insights
NATIONAL GOVERNMENT
- Target and plan new programs
- Track progress on important KPIs through real-time
data from the front lines
- Assess and visualize all impact in one place
NONPROFITS
- Unify baseline, program, and impact data
- Monitor and track on-ground implementation
- Visualize impact and program results in real time
- Find the perfect locations for new programs
PHILANTHROPIC ORGANIZATIONS
- Target investments to the right areas or people for
greater impact
- Unify MIS, impact assessment, and M&E systems
- Track key impact metrics and KPIs in real time
13. Use Cases
One platform. Countless use cases.
SALES AND MARKETING
- Track real-time data from people or stores in the field
- Use granular data to zero in on new target markets
- Visualize key metrics and KPIs and auto-generate
regular reports
CEO/CXO
- Unify all data — sales reports, marketing costs, ROI,
economic data, and more — in a single dashboard.
- Track key metrics and KPIs for every initiative
- Use automatic reports and insights to identify issues
and plan for the future
MEDIA
- Reinforce stories with reliable data
- Unify all audience-tracking data in a single place
- Enhance any story with beautiful visualizations
SUPPLY CHAIN AND LOGISTICS
- Monitor every item in the supply chain with digital
tracking
- Use predictive analytics on internal and external data
to effectively manage warehouses and stock
- Continuously monitor crucial metrics and KPIs
AND MORE…
15. The Ministry of Petroleum and Natural Gas (MoPNG) aims to ensure access to clean cooking fuel
for all households in India. To promote liquefied petroleum gas (LPG), the Ministry partnered with
SocialCops to open new LPG distribution centers in rural areas. The goal — an LPG distribution
center within 10 km of every household within 3 years.
Collect: A mobile app was used to
collect accurate geolocations for the
18,000+ existing distributors in India.
Visualize: Our dashboard allowed the
Ministry to dynamically adjust the
algorithms based on regional or national
priorities, then find the best place for a
new center in every district.
Transform: All data was verified,
merged, and matched to the proper
geolocation. Transform then used
geoclustering to find the best locations
for every new distribution center.
Case Studies
Optimizing LPG distribution for 600k villages with MoPNG
Access: Geospatial data on income,
demographics, market potential, and
more was sourced from our repository.
16. The Ministry of Petroleum and Natural Gas (MoPNG) is opening new liquefied petroleum gas
(LPG) distribution centers, but these centers will only be effective if their distribution is effective.
The Ministry partnered with SocialCops to track their entire funnel of LPG distribution, from an
initial application to a person receiving their LPG cylinder, all in real time.
Visualize: Analyzed data was visualized
on a dynamic dashboard, which both
shows the state of LPG distribution in a
single glance and highlights problems
that need to be addressed.
Transform: By using Transform to
connect to the Ministry’s internal
database, we can continuously ingest,
structure, and analyze real-time data
from LPG distribution centers.
Case Studies
Real-time tracking of LPG distribution with MoPNG
17. The Gates Foundation created an $8 million fund to invest in small and marginal farmers in
Bihar, Odisha, and Uttar Pradesh in India. They partnered with SocialCops to use data to
understand where to invest to create the highest impact.
Access: 35 data sources and 2000+
variables about agriculture, income,
demographics, and nutrition was
sourced from our data repository.
Visualize: A visual query engine
allowed the Gates Foundation to use
custom queries to easily find the best
place for every new investment.
Transform: Data was matched and
aggregated in a single data set, then
transformed into district-level indices on
economic situation, crop productivity,
female empowerment, nutrition, and
more.
Case Studies
Using data to invest $8 million with the Gates Foundation
18. Mr. Kesineni Srinivas (MP of Vijayawada), the Tata Trusts, and SocialCops partnered to
transform all of the 264 villages in Vijayawada. The SocialCops platform was used to build a
micro-targeted development plan for every individual, household, and village.
Collect: 1,200 volunteers used our data
collection app to collect and map data
for each household and each village’s
infrastructure, healthcare facilities,
schools, and more.
Visualize: An interactive dashboard
with household-level views, village
profiles, and intelligent querying gave
government officials targeted village
development plans and comprehensive
data.
Transform: 1.5 million data points came
in from the field. This data was
automatically verified, cleaned, and
aggregated into village profiles and
development indices.
Case Studies
Driving data-driven village development with the Tata Trusts
19. Unilever works across 200,000 stores in Spain and Germany. They wanted to use data to
quickly identify and prioritize the stores where they could run marketing campaigns for their
different brands – e.g. which 30,000 stores to pick for an ice cream campaign.
Transform: Data from Access was
merged with internal Unilever data —
store locations, sales data, etc. — and
cleaned. All the data was then used to
create a store-wise score of marketing
potential for every brand.
Access: External data from our
repository – demographic, socio-
economic, point of interest, and market
data — was sourced to identify
marketing potential in the 5 km radius
around each Unilever store.
Case Studies
Identifying business potential with Unilever
Census Data 2011 - Government of India - Ministry of Home Affairs
Census Data 2001 - Government of India - Ministry of Home Affairs
DISE Data 2015 - Government of India - Ministry of Human Resource Development
District Information System for Education
National Census
CSV, WEB FILE ∙ 1,292,291 HITS ∙ 532,112 ROWS ∙ 112 COLUMNS
WEB FILE ∙ 1,524,298 HITS ∙ 234,836 ROWS ∙ 78 COLUMNS
PDF, CSV, EXCEL FILE ∙ 725,273 HITS ∙ 7,254 ROWS ∙ 25 COLUMNS
Income Age Income & Education Index - India 2015
Location Type or select a locationGlobal / Filters Sorting Recently updated
Press enter
Quick Answers
Based on your search
21% 77%
of Indians live below the poverty line
2011 - Census 2011 - Census
of Indians over 60 live below the poverty line
20. Case Studies
Fighting maternal and child mortality with IHAT
The India Health Action Trust (IHAT) used Collect to monitor 1,113 rural health centers in
Uttar Pradesh. Their surveys, lasting up to 28 hours, continuously track women and
children’s health, proactively monitor for problems, and prevent complications.
Collect: Key features
- Monitoring made it easy for different health workers to
track data for the same patient. They just selected the
patient from Collect’s repository, then updated that
patient’s data. They also used the same survey to
monitor the health workers and facilities associated with
each patient.
- Skip logic and linked surveys helped the survey adapt
to every person’s needs. Depending on what details
health workers entered, the survey would skip to
different questions or even different surveys based on
complications that arose during each pregnancy.
- An intuitive UI made it easy for first-time smartphone
users to collect data. According to IHAT, “Collect was so
easy to use that I could focus on my skill training and
not worry too much about training on how to use the
app.”
21. Case Studies
Assessing 1.4 million schools with Oxfam India
India passed the Right to Education (RTE) Act in 2009. Yet, as of 2015, only 8% of schools in
India complied with all RTE norms. Oxfam India partnered with SocialCops to build
awareness around RTE gaps through an interactive data-driven scorecard.
Transform: Data was transformed into
a district-level scores for each indicator
and for overall RTE implementation.
Visualize: A visual dashboard allowed
anyone to check the status of their
district, find the best and worst
performing districts across India, and
identify gaps that need to be fixed.
Access: 10 indicators related to RTE for
1.4 million schools were sourced from
our data repository.
22. The Royal Police of Malaysia wanted to find the best police stations in Johor. Frost & Sullivan
and SocialCops partnered to collect data from police officers and citizens, match it with
crime data, and identify the best performing districts, police stations, and officers in Johor.
Visualize: The dashboard visualized
analysis of comprehensive surveys of
citizens on their perceptions of their
police station and safety, officers’
feelings of satisfaction, and granular
crime data.
This data was used to create a data-
driven scorecard that ranks each police
station.
The scorecard showed what areas felt
safest to citizens, how reliable and fair
citizens perceived each police station,
how satisfied police were at each
station, and much more.
Case Studies
Assessing the quality of police stations with Frost & Sullivan
23. Case Studies
Increasing digital literacy in 100k villages with Google
Internet Saathi, pioneered by Google and the Tata Trusts, works to increase rural India’s
digital literacy in over 100,000 villages. The program trains villagers how to use the internet,
search government websites, and more on Android devices.
Internet Saathi uses Collect to conduct baseline and
endline surveys that assess the change in each
villager’s digital literacy.
Having all of Internet Saathi’s program data in one
place helps Google and Tata Trusts to assess the
Internet Saathi program, improve trainings, and
monitor their impact.
Key features:
- Monitoring keeps surveyors from having to enter
baseline demographic data multiple times
- Support for 10+ languages
- An intuitive UI optimized for surveyors who never
used smartphones before
- High-quality image capture proved that data was
authentic
What is your industry?
How much do you earn?
Where do you live?
24. On their latest show “On Air with AIB”, All India Bakchod used data-driven monologues and
interviews to examine important issues and problems in India — corruption, fire safety, HIV/
AIDS, and more. SocialCops partnered with AIB to provide all the data behind the show.
Case Studies
Powering India’s first data-driven news comedy show with AIB
Access: We delved deep into our data
repository to research 16 different data
topics and come up with elegant
insights to communicate the magnitude
and complexity of each issue.
We also used Access to pull public
opinion research (focusing on an
analysis of Google Trends and news
article data) and data from over 60 RTI
requests.
Transform: We cleaned, verified, and
analyzed data pulled from over 100
sources.
25. 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
26. 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