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CASE STUDY
PART 3
1All use, reproduction and distribution of this work is subject to a CC-BY-NC-ND license.
Because Ziqitza
customers frequently call
them for ambulance
services, the company has
an existing infrastructure
of call centers in place. It
made the most sense for
them to leverage the
existing call center
technology to collect
poverty-related data.
2Image Credit: Noun Project, Alex Sheyn. All use, reproduction and distribution of this work is subject to a CC-BY-NC-ND license.
However, for other
enterprises, without
such data collection
capacities, tools
that use mobile
phones— such as
SMS surveys —
offer significant
opportunities for
streamlined data
collection.
3Public Domain Image. All use, reproduction and distribution of this work is subject to a CC-BY-NC-ND license.
For example Juhudi
Kilimo, another
company in Acumen’s
portfolio, provides loans
to farmers in Kenya that
can be used to purchase
specific agricultural
assets, such as cows or
tractors. They have also
been at the forefront of
adopting this kind of
Lean Data approach.
4
Image Credit: Juhudi Kilimo. All use, reproduction and distribution of this work is subject to a CC-BY-NC-ND license.
Juhudi is deploying
SMS surveys using
the Echomobile
platform to learn
more about its
clients; together
Acumen and Juhudi
piloted conducting
the Progress Out of
Poverty Index
surveys via SMS.
5All use, reproduction and distribution of this work is subject to a CC-BY-NC-ND license.
6All use, reproduction and distribution of this work is subject to a CC-BY-NC-ND license.
In addition the company
equips its field officers with
tablets to collect customer data
while visiting farmer groups,
mapping data to individual
farmer records to help the
company track metrics such as
which groups are repaying
more consistently, how many
women they reach versus men,
what kinds of assets men
versus women end up
purchasing, the client dropout
rate, and even children’s school
attendance.
7
As these mobile tools
proliferate and
become more robust,
the possibilities for
data collection in the
developing world
among bottom of the
pyramid customers
are expanding
exponentially.
All use, reproduction and distribution of this work is subject to a CC-BY-NC-ND license.
8Image Credit: Center for Health Market Innovations. All use, reproduction and distribution of this work is subject to a CC-BY-NC-ND license.

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Lean Data Case Study 3

  • 1. CASE STUDY PART 3 1All use, reproduction and distribution of this work is subject to a CC-BY-NC-ND license.
  • 2. Because Ziqitza customers frequently call them for ambulance services, the company has an existing infrastructure of call centers in place. It made the most sense for them to leverage the existing call center technology to collect poverty-related data. 2Image Credit: Noun Project, Alex Sheyn. All use, reproduction and distribution of this work is subject to a CC-BY-NC-ND license.
  • 3. However, for other enterprises, without such data collection capacities, tools that use mobile phones— such as SMS surveys — offer significant opportunities for streamlined data collection. 3Public Domain Image. All use, reproduction and distribution of this work is subject to a CC-BY-NC-ND license.
  • 4. For example Juhudi Kilimo, another company in Acumen’s portfolio, provides loans to farmers in Kenya that can be used to purchase specific agricultural assets, such as cows or tractors. They have also been at the forefront of adopting this kind of Lean Data approach. 4 Image Credit: Juhudi Kilimo. All use, reproduction and distribution of this work is subject to a CC-BY-NC-ND license.
  • 5. Juhudi is deploying SMS surveys using the Echomobile platform to learn more about its clients; together Acumen and Juhudi piloted conducting the Progress Out of Poverty Index surveys via SMS. 5All use, reproduction and distribution of this work is subject to a CC-BY-NC-ND license.
  • 6. 6All use, reproduction and distribution of this work is subject to a CC-BY-NC-ND license. In addition the company equips its field officers with tablets to collect customer data while visiting farmer groups, mapping data to individual farmer records to help the company track metrics such as which groups are repaying more consistently, how many women they reach versus men, what kinds of assets men versus women end up purchasing, the client dropout rate, and even children’s school attendance.
  • 7. 7 As these mobile tools proliferate and become more robust, the possibilities for data collection in the developing world among bottom of the pyramid customers are expanding exponentially. All use, reproduction and distribution of this work is subject to a CC-BY-NC-ND license.
  • 8. 8Image Credit: Center for Health Market Innovations. All use, reproduction and distribution of this work is subject to a CC-BY-NC-ND license.