Proprietary Methodology
Data Fusion Intelligence
Where your data meets geographic truth
Data Fusion Intelligence is the integration principle behind every Herbst Group engagement. We combine your existing commercial data with Her-Zone geographic intelligence to produce zone-level insight that neither data source can deliver alone.
Key Benefits
Transform national or provincial data into zone-level intelligence
Surface geographic patterns that aggregated views hide
Integrate syndicated data without violating provider restrictions
Build a compounding intelligence layer that sharpens over time
Connect commercial data to demographics, healthcare infrastructure, and pharmacy access
Maintain data isolation between clients and between sources
Applications
Category analysis disaggregated to zone level
Territory design grounded in geographic demand
Pharmacy network access mapping
Seasonal intelligence (demand modelling)
Competitive landscape mapping at sub-provincial level
Field force deployment optimisation
The Integration Principle
Every Herbst Group engagement starts with a question: what does your data look like when you ground it in geography?
Most pharmaceutical commercial data exists at national or provincial level. Sales reports aggregate to regions. Market share is reported by province. Call data is organised by territory boundaries drawn years ago.
The data is real. The resolution is too low for good decisions.
How Data Fusion Works
Data Fusion Intelligence maps your commercial data to 1,360 geographic zones across South Africa. Each zone has a consistent set of attributes:
Demographics: Population, age distribution, income levels, medical aid penetration. From Stats SA census and community survey data.
Healthcare infrastructure: Hospitals, clinics, dispensing licence holders, community health centres. From the National Department of Health facility registry.
Pharmacy access: Pharmacy locations, chain affiliations, dispensing volumes where available. From public registries and commercial location data.
Disease burden: Epidemiological data by zone, including chronic disease prevalence and seasonal demand patterns.
Economic indicators: Employment, income distribution, urbanisation level. From Stats SA and municipal data.
When your commercial data is mapped to these zones, patterns emerge that aggregated views cannot show.
What Emerges at Zone Level
A national market share number of 14% hides enormous variation. At zone level, that same data might show:
- 28% in urban Gauteng zones with high pharmacy density
- 6% in rural Eastern Cape zones with limited access
- 19% in secondary cities where competition is thinner
- 3% in zones where your product is registered but no pharmacy stocks it
The same data. Higher resolution. Different decisions.
Integration Without Contamination
Data from different sources and different clients never cross boundaries.
Each engagement operates in isolation. Your syndicated data integrates with Her-Zone geographic intelligence within a dedicated environment. No data from one client informs analysis for another. No data provider's information is used outside their contractual terms.
We maintain this discipline in line with the ISO 27001 standards we are actively pursuing. Data isolation is not a feature we offer. It is a constraint we enforce.
The Compounding Effect
Each engagement sharpens the geographic picture.
A territory design project maps your sales force to zones. The next quarter's analytics uses those same zone definitions. Category intelligence for a new therapeutic area builds on the same demographic and pharmacy data already validated.
The intelligence compounds because the geographic framework stays consistent. New data enriches existing zones rather than creating parallel structures.
What You Keep
The zone-level analysis belongs to your engagement. The geographic framework powers the next piece of work. The result is an intelligence asset that grows more precise over time.
We do not ask you to replace your existing data. We ask you to see it through a geographic lens. What changes is not the data. What changes is the resolution.
Frequently Asked Questions
What is Data Fusion Intelligence?
Data Fusion Intelligence is how we integrate multiple data sources into a single geographic framework. Your commercial data (sales, prescriptions, call data) is mapped to 1,360 zones and enriched with demographics, healthcare infrastructure, disease burden, and pharmacy access data from Her-Zone. The result is insight at a resolution that no single data source can provide.
What data do you need from us?
We work with what you already have. Syndicated market data, internal sales data, CRM extracts, call records. The more granular the data, the more precise the zone-level analysis. We never require you to purchase additional data to start an engagement.
How do you handle data from different providers?
Each data source is integrated within strict contractual boundaries. We maintain data isolation between clients and between sources. Your data stays in your engagement. We adhere to all third-party provider restrictions in line with the ISO 27001 standards we are actively pursuing.
How is this different from a data warehouse?
A data warehouse stores data. Data Fusion Intelligence interprets it geographically. We map every record to a zone, enrich it with demographic and healthcare context, and produce analysis that answers commercial questions. The output is intelligence, not just integrated storage.
Does the analysis improve over time?
Yes. Each engagement adds data to the zone-level picture. Territory designs inform the next round of analytics. Category intelligence feeds back into pharmacy network analysis. The intelligence compounds because the geographic framework is consistent across all work.
What is the Her-Zone foundation layer?
Her-Zone integrates across 44 official data sources and 1,360 zones. The foundation layer includes demographics from Stats SA, healthcare facility data from the National Department of Health, and pharmacy locations from the SAPC statutory register (Pharmacy Act 53 of 1974), geolocated via open-data and licensed geocoding APIs. This foundation is Creative Commons. What we add is the analysis framework and the commercial application.
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