Investor Presentaiton
Data gaps
ā
Data quality
Poor data practices impact state's ability to attract donor & investor funding,
prioritize disbursement and gain high-level sector insights
Attract & coordinate
investments
Prioritize spend &
evaluate disbursement
Leverage data-sharing to
develop aggregated views
Lack of comprehensive data.
to justify grant needs &
report baseline metrics to
potential donors
Insufficient data on key
sectors to create business
case for interested investors
(e.g. size of mineral deposits)
Impartial data on how much
MDAs generate
Impartial data on how
disbursements are spent on a
quarterly basis
Different MDAs working in silo
means collected data is rarely
aggregated to drive wide-
scale impact & coordinate
efforts (e.g. in agriculture)
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