You can only get better results if you know exactly WHERE your customers are.
Jan 31 2017
Accurate, geomapped addresses provide better data quality and results.
Addresses are used for almost everything we do on a daily basis. Think about:
Insurance & banking services
Courier services
Emergency response services
Mail delivery
Telecommunications
Municipalservices
Infrastructure planning
Economic development
Transportation
And more…
With AfriGIS Search you:
Never have to worry about address data quality again.
Get fast, simple and correct address capturing, validation and maintenance.
Find any address quickly and easily, ideal for e-commerce.
Can improve your compliance requirements and get to know your customer (KYC) at the point of capture, in your contact centre or on the web.
Use smart addresses to efficiently schedule and dispatch all your deliveries.
Search for additional attributes such as name changes, postal codes or risk and keep history of addresses in a POPI compliant environment.Index and search your own data.
With accurate address data you can:
Reach customers accurately and on time, which saves time and money
Increase response rates for marketing and customer loyalty campaigns
Increase your efficiency, which improves your return on investment
Get better, more accurate business intelligence to unlock real customer insights
Included in the latest release of AfriGIS Search:
More than 37 million address combinations
Enhanced filtering on more address types (unit numbers, postal codes, friendly names etc.)
Improved alignment with international address standards
Alignment with risk data, deeds, area demographics, weather-, lightning– & hail history & forecast
What rapid-response spatial intelligence knew before the Garden Route flooded again South Africa's Garden Route was hit by two cutoff low storms within a month, the second in early June 2026 bringing up to 200mm of rain across an already-satur…South Africa's Garden Route was hit by two cutoff low storms within a month, the second in early June 2026 bringing up to 200mm of rain across an already-saturated region with dams at full capacity, May's temporary road repairs still in place, and the N1 at Leeu Gamka eventually closing. Before that second storm peaked, AfriGIS had already used just four rapidly integrated spatial data layers roads, rivers, informal settlement locations, and storm warning data to identify 22 of the Garden Route's 209 informal settlements at extreme risk of losing all physical access, with Kannaland and George carrying 16 of those, enabling disaster management teams to pre-position resources and plan evacuation routes before conditions peaked. The deeper argument is that the same four-layer foundation becomes substantially more powerful with each additional dataset layered onto it: add deeds and cadastre data and an insurer can move to parcel-level flood underwriting; add CIPC business data and you can quantify revenue disruption, not just building damage; layer in infrastructure assets and Transnet, Sanral, and Eskom can each see where their balance-sheet exposure becomes critical. AfriGIS positions this building-block quality backed by 28 years of authoritative, never-crowdsourced verified data as the foundation for what national-scale spatial preparedness could deliver as SA's rainfall season runs through November.
Why static property data is costing South African short-term insurers their margins South Africa's short-term insurers are pricing property risk against municipal valuation rolls built for tax collection, updated on multi-year cycles, and reflecting a version of the country that no longer exists in many areas. As semigration accelerates to secondary hubs and infrastructure struggles to keep pace, a blocked stormwater drain or outdated flood wall can transform a historically low-risk property into an active hazard overnight. Insurers relying on lagging municipal records will miss these shifts entirely, and the exposure only becomes visible after a severe weather event. The solution is exact geocoding. By pinning property records to precise geographic coordinates, underwriters can overlay real-time spatial layers covering flood lines, fire hazards, weather patterns, and infrastructure constraints, enabling street-by-street risk pricing rather than broad municipal approximations. The same intelligence extends to operations: geofenced hail alerts warn policyholders before damage occurs, and satellite imagery cross-referenced with deeds data automates agricultural claims validation. Insurers who embed location intelligence into their workflows move from reactive loss management to proactive, precision underwriting.
