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Data Insights
Building Inclusive
Data Ecosystems for
the Global South
T H E F U T U R E O F A I A N D B I G D ATA A N A LY T I C S
R O S I T S A Z A I M O V A , C O - F O U N D E R A N D PA R T N E R
M AY 2 0 2 1
1
01 Our purpose and approach at
Dalberg Data Insights
How we use AI for good
02
2
Dalberg
Design
Dalberg
Catalyst
Dalberg
Implement
Dalberg
Data Insights
Dalberg
Advisors
Dalberg
Research
Our core businesses
Dalberg Advisors has strong strategic and rigorous analytical capabilities with deep knowledge and networks
across emerging markets. It works collaboratively across the public, private and philanthropic sectors to fuel
inclusive growth.
Dalberg Catalyst that brings to life multi-stakeholder initiatives to address today’s most critical social and
environmental challenges. Their goal is to take on urgent problems that have massive implications for our
collective future, and to anticipate and get ahead of emerging problems that are taking shape.
Dalberg Data Insights acts as a bridge between private data and
important social problems. It creates tools to interpret data and uncover
solutions in international development, humanitarian action, and social
impact.
Dalberg Research provides research and analysis to find actionable
solutions. It helps to answer questions about markets, consumers and
lifestyles across more than 20 African countries via quantitative and
qualitative studies. It specializes in the inventory, collection, and analysis of
primary research data.
Dalberg Design fosters creative solutions to enhance economic opportunity
and human potential, combining the best skills in human-centered design, rapid
prototyping and systems thinking to accelerate positive change in underserved
communities.
Dalberg Implement takes strategy recommendations and works alongside our clients to bring them to life. We
provide implementation services that marry strategy, innovative resource mobilization, and the deployment of
top talent to launch, scale-up, or transform impactful initiatives.
SAN FRANCISCO
JOHANNESBURG
NAIROBI
DAR ES SALAAM
DAKAR
LONDON COPENHAGEN
GENEVA
MUMBAI
NEW YORK
WASHINGTON DC
SINGAPORE
LAGOS
ABU DHABI
NEW DELHI
HONG KONG
PARIS
ADDIS ABABA
BRUSSELS
MEXICO KIGALI
ABIDJAN
SEATTLE
KAMPALA
3
24
Locations
90+
Countries we’ve worked in
58+
Nationalities of staff
80+
Languages spoken
2700+
Engagements globally
With a Global Presence…
We build inclusive data ecosystems across geographies and
sectors through governance, technology and community
4
PILLARS OF
INCLUSIVE
DATA
ECOSYTEM
Data governance
We develop the governance, protocol, and
technical frameworks to build data-driven
digital solutions when collaborating with a
variety of key stakeholders.
Community
We orchestrate inclusive data ecosystems
and communities of key stakeholders when
a new data-driven digital solution needs to
be sustainably institutionalized.
Technical tools
We leverage open-source technologies in
combination of private and public data sources to
create social and economic value by analyzing and
visualizing data insights that can be linked to a
clear set of actions.
The data governance is
critical in the data
ecosystems we create as it
ensures establishment and
adoption of the standards,
structures, and processes
required to successfully
design, develop, and
establish a new data-driven
digital solution.
The community activities ensure
a sustainable engagement and
contribution of the users,
managers, developers, and
facilitators in the data
ecosystem. Those key
stakeholders are incentivized to
contribute to the ecosystem in
order to foster transformation of
insights into value-adding
decisions and service provision.
The technical tools we develop are tailored to the needs,
challenges, and resources of the intended users and
beneficiaries. Additionally, our iterative cycles of co-
creation focus on data security, privacy and ethics, and
actionability.
5
01 Our purpose and approach at
Dalberg Data Insights
How we use AI for good
02
ESTIMATING POVERTY IN UGANDA
USING TELECOM DATA
In partnership with GiveDirectly, we built a poverty model using survey and
telecom data to identify people eligible for cash transfer programs in
Uganda
7
End Result: for each subscriber, a probability to belong to the eligible class
Why is this a good approach to idenify eligible people for
cash transfer programmes?
8
• Using the phone survey results, we saw a high variability in poverty
levels within districts (see figure below). Individual targeting will
improve the resource allocation when limited budget needs to be
disbursed
• Based on the model, it is possible to identify with high degree of
accuracy the poorest within a group of people
9
DATA AGAINST COVID19 IN
BELGIUM
Mobility has decreased by ~70% under confinement
measures, but rose by 32% on Sunday due to nice weather
March 2
Phase 2
March 10
Phase 2
reinforced
March 13
Partial
confinement
March 18
Reinforced
confinement
AVERAGE NUMBER OF TRIPS OUTSIDE OF
HOME ZIP CODE, PER CAPITA
Weekend
- 69%
+ 32%
illustrative
Different types of mobility and different dynamics over
time
illustrative
While 99% of zip codes have reduced mobility, small rural
zip codes still maintain pre-confinement trips
15% OF ZIP CODES HAVE REDUCED
THEIR AVERAGE NUMBER OF TRIPS BY
<30%
-30%
-40%
-50%
Distribution of ZIP codes, ranked by evolution of average
number of trips between March 2nd and 30th, per capita
Normal travel
Half of normal
No travel
SMALL AND RURAL ZIP CODES DO
NOT SIGNIFICANTLY REDUCE
MOBILITY
Scatterplot of ZIP codes, comparing the evolution of average number of
trips between March 2nd and 30th per capita and ZIP code area size
Area size
12
illustrative
BRUGGE-COAST
• 152k people /
10 ZIP codes
• Risk factors:
age, inbound
mobility
KORTRIJK
• 350k people /
24 ZIP codes
• Risk factors:
work mobility
RISK SCORE
Low High
AALST-NINOVE
• 138k people /
9 ZIP codes
• Risk factors:
work mobility,
link to Brussels
HASSELT-E314
• 295k people /
19 ZIP codes
• Risk factors:
covid-19 cases
OUTER LIEGE
• 67k people /
19 ZIP codes
• Risk factors:
age, mobility
BOUILLON
• 4k people / 3 ZIP codes
• Risk factors: age, mobility mostly
unchanged, covid-19 cases
6 geographical areas are flagged as high risk of
COVID19 and should be deconfined at the later stages
illustrative
Rositsa Zaimova
Partner and Co-founder
E: rositsa.zaimova@dalberg.com
Data Insights

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Building Inclusive Data Ecosystems for the Global South

  • 1. Data Insights Building Inclusive Data Ecosystems for the Global South T H E F U T U R E O F A I A N D B I G D ATA A N A LY T I C S R O S I T S A Z A I M O V A , C O - F O U N D E R A N D PA R T N E R M AY 2 0 2 1
  • 2. 1 01 Our purpose and approach at Dalberg Data Insights How we use AI for good 02
  • 3. 2 Dalberg Design Dalberg Catalyst Dalberg Implement Dalberg Data Insights Dalberg Advisors Dalberg Research Our core businesses Dalberg Advisors has strong strategic and rigorous analytical capabilities with deep knowledge and networks across emerging markets. It works collaboratively across the public, private and philanthropic sectors to fuel inclusive growth. Dalberg Catalyst that brings to life multi-stakeholder initiatives to address today’s most critical social and environmental challenges. Their goal is to take on urgent problems that have massive implications for our collective future, and to anticipate and get ahead of emerging problems that are taking shape. Dalberg Data Insights acts as a bridge between private data and important social problems. It creates tools to interpret data and uncover solutions in international development, humanitarian action, and social impact. Dalberg Research provides research and analysis to find actionable solutions. It helps to answer questions about markets, consumers and lifestyles across more than 20 African countries via quantitative and qualitative studies. It specializes in the inventory, collection, and analysis of primary research data. Dalberg Design fosters creative solutions to enhance economic opportunity and human potential, combining the best skills in human-centered design, rapid prototyping and systems thinking to accelerate positive change in underserved communities. Dalberg Implement takes strategy recommendations and works alongside our clients to bring them to life. We provide implementation services that marry strategy, innovative resource mobilization, and the deployment of top talent to launch, scale-up, or transform impactful initiatives.
  • 4. SAN FRANCISCO JOHANNESBURG NAIROBI DAR ES SALAAM DAKAR LONDON COPENHAGEN GENEVA MUMBAI NEW YORK WASHINGTON DC SINGAPORE LAGOS ABU DHABI NEW DELHI HONG KONG PARIS ADDIS ABABA BRUSSELS MEXICO KIGALI ABIDJAN SEATTLE KAMPALA 3 24 Locations 90+ Countries we’ve worked in 58+ Nationalities of staff 80+ Languages spoken 2700+ Engagements globally With a Global Presence…
  • 5. We build inclusive data ecosystems across geographies and sectors through governance, technology and community 4 PILLARS OF INCLUSIVE DATA ECOSYTEM Data governance We develop the governance, protocol, and technical frameworks to build data-driven digital solutions when collaborating with a variety of key stakeholders. Community We orchestrate inclusive data ecosystems and communities of key stakeholders when a new data-driven digital solution needs to be sustainably institutionalized. Technical tools We leverage open-source technologies in combination of private and public data sources to create social and economic value by analyzing and visualizing data insights that can be linked to a clear set of actions. The data governance is critical in the data ecosystems we create as it ensures establishment and adoption of the standards, structures, and processes required to successfully design, develop, and establish a new data-driven digital solution. The community activities ensure a sustainable engagement and contribution of the users, managers, developers, and facilitators in the data ecosystem. Those key stakeholders are incentivized to contribute to the ecosystem in order to foster transformation of insights into value-adding decisions and service provision. The technical tools we develop are tailored to the needs, challenges, and resources of the intended users and beneficiaries. Additionally, our iterative cycles of co- creation focus on data security, privacy and ethics, and actionability.
  • 6. 5 01 Our purpose and approach at Dalberg Data Insights How we use AI for good 02
  • 7. ESTIMATING POVERTY IN UGANDA USING TELECOM DATA
  • 8. In partnership with GiveDirectly, we built a poverty model using survey and telecom data to identify people eligible for cash transfer programs in Uganda 7 End Result: for each subscriber, a probability to belong to the eligible class
  • 9. Why is this a good approach to idenify eligible people for cash transfer programmes? 8 • Using the phone survey results, we saw a high variability in poverty levels within districts (see figure below). Individual targeting will improve the resource allocation when limited budget needs to be disbursed • Based on the model, it is possible to identify with high degree of accuracy the poorest within a group of people
  • 11. Mobility has decreased by ~70% under confinement measures, but rose by 32% on Sunday due to nice weather March 2 Phase 2 March 10 Phase 2 reinforced March 13 Partial confinement March 18 Reinforced confinement AVERAGE NUMBER OF TRIPS OUTSIDE OF HOME ZIP CODE, PER CAPITA Weekend - 69% + 32% illustrative
  • 12. Different types of mobility and different dynamics over time illustrative
  • 13. While 99% of zip codes have reduced mobility, small rural zip codes still maintain pre-confinement trips 15% OF ZIP CODES HAVE REDUCED THEIR AVERAGE NUMBER OF TRIPS BY <30% -30% -40% -50% Distribution of ZIP codes, ranked by evolution of average number of trips between March 2nd and 30th, per capita Normal travel Half of normal No travel SMALL AND RURAL ZIP CODES DO NOT SIGNIFICANTLY REDUCE MOBILITY Scatterplot of ZIP codes, comparing the evolution of average number of trips between March 2nd and 30th per capita and ZIP code area size Area size 12 illustrative
  • 14. BRUGGE-COAST • 152k people / 10 ZIP codes • Risk factors: age, inbound mobility KORTRIJK • 350k people / 24 ZIP codes • Risk factors: work mobility RISK SCORE Low High AALST-NINOVE • 138k people / 9 ZIP codes • Risk factors: work mobility, link to Brussels HASSELT-E314 • 295k people / 19 ZIP codes • Risk factors: covid-19 cases OUTER LIEGE • 67k people / 19 ZIP codes • Risk factors: age, mobility BOUILLON • 4k people / 3 ZIP codes • Risk factors: age, mobility mostly unchanged, covid-19 cases 6 geographical areas are flagged as high risk of COVID19 and should be deconfined at the later stages illustrative
  • 15. Rositsa Zaimova Partner and Co-founder E: rositsa.zaimova@dalberg.com Data Insights