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#Data4Decisions in the development world
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#Data4Decisions in the Development World

Jan 22, 2018

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Page 1: #Data4Decisions in the Development World

#Data4Decisionsin the development world

Page 2: #Data4Decisions in the Development World

A student team analysed data for 7,000 MSF volunteers to help MSF better allocate doctors to missions

in order to improve their experience and likelihood of going further on a

mission.

Page 3: #Data4Decisions in the Development World

Result: Better Retention of Volunteers for MSF

Page 4: #Data4Decisions in the Development World

Data is changing the way organizations are making small and

big decisions, and it’s driving transformational change.

Page 5: #Data4Decisions in the Development World

D Ax x =xI

Accurate, RelevantEasy-to-Understand

Information

EffectiveDecisions

MeaningfulActions

BetterOutcomes

What drives transformational change?

Accurate, relevant and easy-to-understand information is a pre-condition for effective decisionmaking. Effective decisions foster meaningful actions, which drive better outcomes & transformational change.

Page 6: #Data4Decisions in the Development World

DxIAccurate, RelevantEasy-to-Understand

InformationEffective Decisions

Data, if used correctly, can lead to effective decisions.

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IAccurate, Relevant

Easy-to-Understand Information

Page 8: #Data4Decisions in the Development World

IAccurate, RelevantEasy-to-understand

Information

Page 9: #Data4Decisions in the Development World

IAccurate, RelevantEasy-to-understand

Information

Page 10: #Data4Decisions in the Development World

IAccurate, RelevantEasy-to-understand

Information

15%

Direct match % when matching two data sets at village level in India

(Census 2011, DISE 2014)

Page 11: #Data4Decisions in the Development World

Information has to be born digital.

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Page 13: #Data4Decisions in the Development World

Can data be put to better use?

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DEffective

Decisions

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PPlanning

Investments

CCourse

Corrections

MMonitoring Progress

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Course correcting the way deliveries

are done using real-time data.

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STEP 1 : SAMPLE SELECTIONSending enumerators sample of Primary Healthcare Centres in 25 districts in UP

STEP 2 : BASE DATA COLLECTIONCollecting data about infrastructure and registering every nurse and doctor, including background and previous training programs attended

STEP 3 : KNOWLEDGE ASSESSMENTTaking a Knowledge Assessment of every nurse and doctor to assess basic knowledge of delivery process

STEP 4 : SKILLS ASSESSMENTTaking a lab test of every nurse and doctor to understand if they can use instruments

STEP 5 : DELIVERY OBSERVATIONObserving the 400 steps during delivery and tagging it to the doctor and nurse who is conducting the step

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Data was collected for each and every delivery to figure out which of the 400

steps of the delivery needs improvement.

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Understanding what really causes death in the delivery room – is it lack of training,

skills, or simple negligence?

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Harnessing Data Intelligence to

identify where to invest $8M to

create maximum impact

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• High Rice and Wheat Production

• Extremely High Maternal Mortality, Infant Mortality Rates

• High Malnutrition

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INFANT MORTALITY RATE PER 1,000 LIVE BIRTHS

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INFANT MORTALITY RATE PER 1,000 LIVE BIRTHS

PRODUCTIVITY OF MASOOR

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INFANT MORTALITY RATE PER 1,000 LIVE BIRTHS

PRODUCTIVITY OF MASOOR

% OF AREA RECEIVING IRRIGATION

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Low nutrition levelsPoor productivity of masoor (pulses)

High availability of irrigation

BEST DISTRICT TO INVEST IN EXTENSION TO CREATE MAXIMUM IMPACT

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Tracking progress of India’s 89

ministries all in one place.

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Page 28: #Data4Decisions in the Development World
Page 29: #Data4Decisions in the Development World
Page 30: #Data4Decisions in the Development World
Page 31: #Data4Decisions in the Development World

Every second, 3 more Indians

experience the Internet for the first

time.

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77% of urban and 92% of rural use

smartphone as their primary device

to connect to the Internet.

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How can you drive data-driven

decision-making in your

organization?

Page 34: #Data4Decisions in the Development World
Page 35: #Data4Decisions in the Development World

Don’t waste time re-inventing the

wheel. Leverage some existing

technology to create your own

solutions.

1

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Create data systems not for

measurement of impact, but for

measurement for impact.

2

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Only collect data that you really

need. Collect implicit data.

3

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Take time, iterate, and create a data

system around your people.

Humanize data.

4

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Create a data culture – making

insights available to everyone.

5

Page 40: #Data4Decisions in the Development World

Thank You!Richa Verma

[email protected]

www.socialcops.com