The People Behind the Data
Our team combines expertise in data science, property research, technical development and editorial standards to transform complex municipal records into accessible insights.
Thabo Mthembu
Lead Data Analyst
Thabo oversees data collection and processing pipelines, ensuring accuracy and consistency across municipal valuation rolls and deeds office records. Background in quantitative analysis and property economics.
Naledi Khumalo
Senior Property Researcher
Naledi specialises in sectional title schemes and building plan approvals, translating technical municipal documentation into understandable neighbourhood profiles and development insights.
Sipho Ndlovu
Platform Developer
Sipho builds and maintains the technical infrastructure that powers our interactive dashboards, heatmaps and comparative analysis tools. Focused on performance and user experience.
How We Work
Data accuracy and editorial independence guide everything we do.
Source Verification
Every data point traces back to official municipal or government sources. We document provenance and update frequency for transparency.
Quality Assurance
Automated validation checks combined with manual review ensure data accuracy before publication. Errors are corrected promptly when identified.
Clear Visualisation
Complex datasets become interactive charts, maps and comparisons. We prioritise clarity and accessibility in every visual presentation.
Editorial Independence
No property agencies, developers or investment firms influence our data presentation. We maintain complete editorial control over platform content.
Regular Updates
Automated systems monitor source data for changes. Major metros receive monthly updates, with some datasets refreshed weekly as new records become available.
User Feedback
Platform improvements and new features often originate from user suggestions. We actively incorporate feedback to better serve researchers and the public.
Our Commitment to Accuracy
Transparency in methodology and clear documentation of limitations.
Source Attribution
Every dataset includes clear attribution to the originating municipal department or government agency. We document collection dates and update schedules so users understand data currency.
Known Limitations
We openly document gaps in coverage, known data quality issues from source systems, and areas where information may be incomplete or delayed. Transparency builds trust.
Correction Policy
When errors are identified, we correct them promptly and document the change. Users can report suspected inaccuracies through our contact channels for investigation.
Methodology Documentation
Our data processing methods, calculation formulas and aggregation techniques are documented in technical notes available to premium users and researchers.