Combining Client
Data With Market
Intelligence to Unlock
its full power

CASE STUDIES
NEED-BASED RESOURCE ALLOCATION USING GEOSPATIAL ANALYSIS
UNLOCKING THE POWER OF OPEN-SOURCE DATA TO EXPAND ICT INFRASTRUCTURE
CONTEXT

A government agency for international development sought to promote investments in telecommunications in sub-Saharan Africa to achieve near-universal connectivity. The agency wanted to provide potential investors with data-driven insights to inform their investment thesis.

This was a particularly challenging task due to the limited data available in the countries of focus. Previous publications offered top-down estimates of the investments required to provide internet access, but none provided fine-grained estimates that could further guide the channeling of investment efforts.

Mobile towers and population out of mobile coverage
Source: OpenCelliD
backbone fiber cable lines
Source: NSRC
ACTION

CrossBoundary Data Analytics (CBDA) gathered and cleansed several open-access datasets—including demographic and telecommunication infrastructure data—across 5 countries of interest. Using these datasets—which contain over 20 million points of data—our team built a model was able to map out the current ICT infrastructure, identify settlements that lack mobile and/or fixed internet coverage, and model the additional infrastructure needed to provide the coverage.

RESULT

Using open-source geospatial and interactive visualization packages, CBDA provided more than just a number: our team produced interactive maps that can help to target efforts to specific regions. Our bottom-up estimate came very close (<10% difference) to other top-down figures previously published by organizations like the World Bank. However, our work provided more detail than ever accomplished before.

Our team proved that one can use open-access data and open-source software to deliver insights that can inform scalable impact. Thanks to the structure of our model and the crowdsourced efforts behind the data and software we used, CBDA is now able to replicate this analysis for almost any country in Africa.

Reach out to [email protected] if you are interested in learning more about how you can start the data science journey of your organization.

mobile coverage and population in Kenya
Source: WorldPop

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