Page 34 - CIWA Water Data Revolution Overview Report
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Water Data Revolution: Closing the data gap for transboundary water in Africa





               Volta Basin:
               https://public.tableau.com/app/profile/iwmi.wa/viz/Voltabasinvertical/Merged


               Incomati Basin:

               https://public.tableau.com/app/profile/iwmi.wa/viz/IWMIIncomatiRiver/Landing


               Maputo Basin:
               https://public.tableau.com/app/profile/iwmi.wa/viz/IWMIMaputo/Landing



               Zambezi Basin:
               https://public.tableau.com/app/profile/resmun/viz/IWMIZambeziBasinWaterAccountingDa
               shboard2025/Overview



               6. Insights and Strategic Pathways from the Water Data Revolution Project


               The WDR project has made substantial strides in addressing critical gaps in transboundary water
               data management. Through targeted capacity-building initiatives, specialized training programs,
               and development and adoption of advanced technologies such as WA dashboard, the project has
               established a robust foundation for the sustainable management of shared water resources. The

               following consolidated insights and recommendations provide a technical overview of the key
               achievements and findings under Pillars A, B, and C, highlighting the progress made in enhancing
               data accessibility, analytical capabilities, and regional cooperation.




                   1.  Leveraging public domain data for enhancing regional collaboration and cooperation for
                       improved decision-making


               The use of public domain data offers substantial advantages, particularly for resource-limited
               RBOs. Public domain data is typically free to access, eliminating the financial barriers that often
               restrict organizations with limited resources from acquiring necessary information. This opens
               opportunities for RBOs to access critical data on water resources, climate patterns, land use, and
               other critical data without the high costs typically associated with proprietary data sources. For
               RBOs, this brings on the opportunity to carry out critical analytics (i.e. water accounting, flood

               forecasting,  drought  management,  etc.)  vital  for  sustainable  water  resource  management.

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