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As Figure 13 demonstrates, these recommendations reach across four key considerations with
varying degrees of intensity. While there are a combination of a potential solutions which could
achieve several of these objectives, one application that responds to this needs assessment is
the development of an analytical data-based dashboard, paired with the training through which
to manage and use the dashboard. The dashboard would incorporate a variety of open-source
RS data through an API which could result in being able to run internal water accounting in a
more real-time approach. Establishing such a tool would help RBOs and ROs assess their current
water balances using state of the art data in a uniform approach across the continent, enabling
real-time decision support without the need for intensive technical skills. Ideally the use of such
a tool would directly enable the sustainable development of the water resources RBOs and ROs
manage.

9 Closing

RS data, data products, and analytical tools are currently underutilized by many regional or basin
organizations across Africa that manage transboundary water resources. However, these types
of technologies can greatly enhance their capability to make data-informed decisions despite
challenges in the collection of data and acquisition of analytical tools that are common across
Africa. Through trainings and capacity building, the WDR is striving to support organizations with
increasing their ability to utilize data innovations based on their current demands and needs for
operations. This assessment was conducted to determine the data gaps at organizations, as well
as to understand which types of data products and analytical tools would be of greatest use for
RBOs and ROs. Moreover, this assessment identified constraints that inhibit the use of data
technologies, so that trainings and capacity development can be provided around tools that have
a high potential of being sustainably used. Based on this assessment, recommendations were
constructed as outlined in the section above. These recommendations consider the status and
needs of organizations for RS data, data products, and analytical tools; prioritize trainings and
capacity building initiatives; account for constraints to using RS data and tools; consider staffing
capacity; and work within the context of common data sharing practices across Africa. These
recommendations should be utilized to ensure the needs and aspirations of the organizations are
prioritized.

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