Geospatial Analysis Training for a Development Actor
Training a development actor on how to use tools and datasets on infrastructures and urban transitions
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Latest assignments
Geospatial Analytics
Geospatial Analysis To Inform Financial Inclusion Policies
Colombia Context and issues Banca de las Oportunidades commissioned Masae to understand the gaps in the Cash-in Cash-out (CICO) agent...
Monitoring Financial inclusion in Tunisia
Tunisia Context and issues The Financial Inclusion Observatory, part of the Central Bank of Tunisia, wanted to federate financial...
Geomarketing Platform for Off-Grid Solar Electricity
A solar electricity provider asked Masae to identify promising sales areas in Liberia.
Geospatial analysis training for a development Bank
Colombia Context and issues A Colombian development bank wanted to analyse financial inclusion in the country, by geolocating cash-in...
Remote monitoring of construction projects
Africa Context and issues Infrastructure projects in unstable areas can be challenging to monitor on the ground. Masae is frequently...
Capacity building for Jordan law enforcement officers
Jordan Context and issues Jordan law enforcement officers are faced with a lot of GIS issues, as they need to understand cities’ layout,...
Dynamic Mobile Coverage Maps during Natural Disasters
Worldwide Context and issues Natural disasters can damage telecommunication infrastructure and in turn affect communication which is a...
Impact Evaluation of Development Programs using Advanced Geospatial Analysis
Somalia Context and Issues Several large-scale humanitarian and development projects are going on in Somalia where data is lacking,...
Granular Community Mapping in Somalia
Somalia Context and Issues An international organisation seeking to provide assistance to internally displaced persons (IDPs) needed to...
Measuring Urban Expansion in Rural Iraq
Iraq Context and Issues An international NGO seeking to provide support to populations in Anbar needed visibility on population patterns...
Identifying Target Zones for an Agricultural Development Program using Satellite-derived Data
An international NGO was preparing the implementation of a major program aiming to improve the resilience capacity of farmer households...
Evaluating the Impact of Irrigation Weirs on Vegetation using Satellite Imagery
Several irrigation weirs have been constructed in Chad in order to support the local agricultural sector.
Using Satellite Imagery to Measure Impact of Agricultural Support Development Programmes
An International Development Agency rehabilitated irrigation canals in Iraq in order to support the local agricultural sector...
Sampling Dwellings from Satellite-derived Population Data for Household Surveys
In order to conduct a survey among populations hosting refugees in Ethiopia, Masae was asked to build a representative sample of households
Geo-marketing Platform for a Satellite Operator
The client, a satellite operator, wanted to have an overview of the most promising locations to expend their business on.
Mapping Potential for Off-Grid Solar Systems with Geospatial Data and Machine Learning
A solar electricity provider asked Masae to identify promising sales areas in two West-African countries.
Web Platform for Mobile Coverage Maps
Telecom Operators need to identify areas where it makes economic sense to install new base stations (BTS) in order to expand their reach.
Building a Geographic Sampling Frame for a Household Survey
Masae was asked to select the best locations to conduct household interviews in Iraq.
360° Mobile Data Discovery
In a highly concentrated market, an African MNO was time pressured to enhance its performance.
Mining Transactional Data to Understand Customer Journey in Mobile Money
Information on mobile money customer journey after registration is usually scarce
Geo-marketing Platform for Mobile Money Customer Management
Granular geo-located data is essential for mobile operators to know where they can acquire customers, staff more/less agents, boost usage…
Rural Markets Detection for Financial Inclusion with Mobile Data Analytics
Financial inclusion is often very low in rural areas in large part because of low densities, challenging topography, low income levels, etc.
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