Data Aggregation Policy

Edge operates in accordance with the following principles relating to Client Data:

Our business, your data

Edge integrates into the business systems of its clients to access Client Data to enable Client to get a better view of its business metrics and derived insight. Edge acknowledges that Client Data and information and their management is critical to Client’s business. This policy does not form part of our Terms and Conditions but uses the same defined terms and sets out how Edge intends to manage Client Data.

Categorise and manage

Every piece of Client Data Edge receives, and the data Edge derives from it is assigned a category which determines how Edge manages that data.


Public data may be shared with anyone. Primarily only users of the Edge Product, but potentially with the public also. For example, aggregated and anonymised figures, national averages.
Edge will share this data only with other clients that use the Edge Product. Typically, those who have themselves committed to sharing the same type of data.
Only the client to whom it belongs can view this data. For example, that client’s delivery price and margins.

Data Edge receives from retailers and assigned categories

Deliveries (volumes and prices perliter)
How much fuel is delivered to a client’s Covered Site and how much that client pays for it.
Sales volumes
How much fuel client is selling at any of its Covered Sites or across Client’s portfolio of Covered Sites.
Sales (or pole) prices
A client’s sales price and that client’s competitors’ sale prices.
A client’s margin, per Covered Site, per week, per day, per liter.

Data Edge device, and assigned categories

Wholesale fuel price predictions
Derived from past fuel price changes, current trends, industry events etc.
National average sales volumes
Aggregated and anonymised to regional or national figures.
National average sales (or pole) prices
Aggregated and anonymised to regional or national figures.
National average margin
Aggregated and anonymised to regional or national figures.

Policy on data aggregation

The primary principles is that any aggregated data released by Edge must be anonymized so that the source of the data cannot be identified from the data by reverse engineering.  This involves:

  • having a sufficiently large sample size (number of petrol filling stations); and
  • having sufficient diversity of sources so that no source and the approximate data from that source can be identified by reverse engineering; and
  • having no source or group of sources which contribute to the data in a way that significantly skews the data (a very large or very small volume outlier).

All three criteria must be satisfied for the data to be both meaningful and anonymized, and therefore usable.

EdgePetrol would not expect data to be useful, usable or necessarily anonymized if any one of the above contributes more than twenty five percent (25%) of the sample size or data.

Close weekly wrap signup icon

Sign up to
The Weekly Wrap