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HOW TO OVERCOME LIMITED
DATA
The AfricaScope Safari
Bob Currin & Craig Schwabe
AfricaScope
Location Matters:
Workshop on GIS in financial inclusion
22-23 July 2015
Financial Access Framework
DETERMINATION OF DATA NEEDS
Financial Data Framework
Secondary Data Sets
Core Data Sets
Linkages and
integration
Foundational Spatial data
• Census is the
foundation
o Sample frame
o Rapid data capture
• Africa census
• FinScope consumer
surveys provide
demand side data
Sample Design DRC
• No census data available
• Defined boundaries of no-go and
inaccessible areas
• Used satellite imagery of
population distribution/density
• Defined sample frame
• Creating grids for sample
selection
• Listing to verify population for
weighting
Mapping Financial Penetration
• Census
• Segmentation
• Small Area
Estimation
• FSM & BSM
• Secondary survey
datasets
Capturing Financial Services
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K
Legend
! Pay points
Provinces
• Web scraping
o Geocoding
o Validation
• GPS
o self reporting
• Existing sources
o National
partners
• Workshops
• Map codes
• Financial access is about
optimizing the location of
financial services to meet
demand
• Guideline on process of
accomplishing financial
access
Financial Access
Processes for financial access
Financial Access Norms
• Financial Sector
Charter in South
Africa
o Distance of
20km to first and
second order
service points
o Capacity of
financial service
points
• Economic (GDP)
• Poverty
• Mobile coverage
• Living Standards
• Income &
employment
• Financial literacy
• Financial
vulnerability
Secondary datasets
• Financial framework defines
data requirements
• Census data is foundational
• Establish a process of data
collection
• Look beyond the obvious
• Partnerships are of critical
importance
Conclusion
Thank you

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How to overcome limited data – The AfriScope Safari

  • 1. HOW TO OVERCOME LIMITED DATA The AfricaScope Safari Bob Currin & Craig Schwabe AfricaScope Location Matters: Workshop on GIS in financial inclusion 22-23 July 2015
  • 3. Financial Data Framework Secondary Data Sets Core Data Sets Linkages and integration
  • 4. Foundational Spatial data • Census is the foundation o Sample frame o Rapid data capture • Africa census • FinScope consumer surveys provide demand side data
  • 5. Sample Design DRC • No census data available • Defined boundaries of no-go and inaccessible areas • Used satellite imagery of population distribution/density • Defined sample frame • Creating grids for sample selection • Listing to verify population for weighting
  • 6. Mapping Financial Penetration • Census • Segmentation • Small Area Estimation • FSM & BSM • Secondary survey datasets
  • 7. Capturing Financial Services ! ! ! ! ! ! ! ! ! ! ! ! ! ! !!! ! ! ! !! ! ! !! !! ! ! ! !! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! !!! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! !! ! ! ! !!!!!!! !! !!!!! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !!! ! ! ! ! !! ! ! ! !! ! ! ! ! !!!! ! ! ! !! !! !! !!! ! !! ! ! ! !! ! !! !! !! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! !!!!!!!!!!!!!!!! !!!!!!!!!!!!!!!!! !! ! ! ! ! !! ! ! ! !!!! !!! ! ! ! ! ! ! ! !! !! ! ! !!!!!!!! !! ! ! ! ! ! ! !! ! ! ! ! ! ! !!! ! ! ! ! ! ! ! !! !! ! ! ! ! ! !! ! ! ! ! ! ! ! !! !!! ! ! ! ! !! ! ! !! ! ! ! ! ! ! !! ! ! ! ! ! ! ! !! !! !!!! ! ! ! ! !! ! ! ! ! ! !! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! !!! !!!! ! ! ! ! ! ! ! !! ! ! ! !! ! ! !! ! !! ! ! ! ! ! !! ! !!!! !! ! ! ! !!! !! ! ! ! ! ! ! !!! ! ! ! ! ! !! ! ! ! ! !! !! !! ! ! ! ! ! ! ! ! ! ! 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!!!! ! !!! !!!!!! !!! ! ! !!!!!!! !!!!!!!!!!!! ! !! !!!!! !!! !!! ! ! !!! !!!!!!!!!!!!! !!! ! !! !! ! ! !!!!!!!!!!!!!!!! !!!! ! !! !! !!!!!!!! !!!! !!!!!!!!! ! !! ! ! ! ! ! !!!!!! ! ! ! ! ! ! ! ! ! !!! ! ! ! ! ! !!!!! ! ! ! ! ! !! ! !! ! ! ! !!! !! ! !!!! ! ! !!!!!!!!! !!! !!!!!!!! ! ! ! !!!!!!!! !! ! !! !! !! ! !! !!! !! ! !!! !! ! !! !! !! ! ! !!! !! !! !!!! !! !! !!! ! !! ! ! !! !! !! !!! ! !! ! !! ! ! ! ! ! !! ! ! ! !! ! ! ! ! !! ! ! ! !! !! ! !! ! !! !! ! !! ! ! ! !! !!! ! ! !! ! !! !!! !! ! !! ! !!! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! !! ! ! ! ! ! !! ! ! ! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! !! ! ! ! !! ! ! ! ! ! !! ! ! !! ! !!!!! ! !! !!! ! ! ! ! ! !!! !! ! ! ! !! ! ! !! ! ! !! ! ! ! ! ! !!!! ! ! ! ! ! !!! ! ! ! ! !!!! ! ! ! ! ! ! ! ! ! !!! ! ! !! !! !! ! ! !! ! ! !!! ! !! ! !!!! !! !!!! ! ! ! ! !!!!! !!! ! ! ! ! !!! ! ! ! ! !! !!! !! ! ! ! !! ! !!!!!!! !! !!! ! ! ! ! ! ! !! !!! !!! ! ! ! ! !!!!!!! !! ! ! ! !!! ! !! ! ! ! ! !!! ! !! ! ! ! ! ! !! ! !!!!!!!!! ! !!!!!! ! ! ! !!! ! !! ! !!!! ! ! !! ! ! !! ! ! ! ! ! !! ! ! ! ! ! !! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! !! !!! !! ! ! ! !! ! ! !! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! !! !! ! ! ! ! ! ! ! ! ! ! ! !! ! ! !! !!! ! ! ! ! ! ! !! ! ! !! !!! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! !! ! ! ! ! ! !! ! !! !!! ! !! !! ! ! ! ! ! !! ! ! ! !! !! !! !!! ! ! ! ! ! !! !! ! ! ! !! ! !!! ! !! ! ! ! !! ! ! !!! !!! !! ! ! !! !!!!!!!!!!! ! !! ! ! !! ! ! ! ! ! ! !! ! ! !!!!!!!!!! !!!!!!!!!!!!!!!!! ! !! !!! ! !!!!! ! !! !!!!!!!!!!!!!!! !!!!!!!! ! !!! ! K Legend ! Pay points Provinces • Web scraping o Geocoding o Validation • GPS o self reporting • Existing sources o National partners • Workshops • Map codes
  • 8. • Financial access is about optimizing the location of financial services to meet demand • Guideline on process of accomplishing financial access Financial Access
  • 10. Financial Access Norms • Financial Sector Charter in South Africa o Distance of 20km to first and second order service points o Capacity of financial service points
  • 11. • Economic (GDP) • Poverty • Mobile coverage • Living Standards • Income & employment • Financial literacy • Financial vulnerability Secondary datasets
  • 12. • Financial framework defines data requirements • Census data is foundational • Establish a process of data collection • Look beyond the obvious • Partnerships are of critical importance Conclusion