Case Study: Geospatial Statistical Maps for African Regions
Client: A renowned international consulting firm(Confidential)
Project Type: Geospatial Mapping & Statistical Visualization
Tools Used: Google Earth, Excel, Power BI / Tableau / QGIS (as applicable)
Services: Data Engineering, Geocoding, Map Design, Spatial Analysis
Sector: Public Policy, Urban Planning, Development Research
About the Client
A regional development agency working across African geographies, requiring detailed, clean, and visual location-based insights for planning and reporting.
The Challenge
Input data was messy with inconsistent address formats and missing pin codes
Needed accurate matching of locations and addresses to spatial coordinates
Required high-quality, stylized statistical maps with analytical overlays
Client needed several iterations to meet internal validation standards
Our Solution
Cleaned and engineered raw address and location data using advanced transformation logic
Performed geocoding using a mix of Google Earth exports and other tools
Designed clear, visually rich maps with overlaid geospatial analysis layers (e.g., heatmaps, boundaries)
Built maps using BI tools to allow future interactivity and updates
Maintained close coordination with the client to incorporate feedback and complete multi-level review
Implementation Highlights
Mapped inconsistently recorded addresses to reliable coordinates
Custom map styling to align with client branding and report aesthetics
Added spatial analytics such as density analysis, service coverage, or regional trends
Delivered final visuals in high-resolution formats for publication and presentation
Demonstrated Expertise
Strong command over geospatial tools and methods for developing countries
Ability to convert messy, partial datasets into reliable spatial insights
Delivered polished, publication-ready visuals with analytical depth
Balanced technical accuracy with design quality through iterative feedback cycles
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