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411 University St, Seattle, USA

+1 -800-456-478-23

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

Our business, your data.

Wolfhound does not integrate into the business systems of its clients to access Client Data. 

The data is saved on the Base Station and the Client may choose between  three options to access it:

  1. Via USB or Local Area Network or;
  2. Direct WiFi; or
  3. Local Area Network.

Only the Client has access to the data.

The Client may choose Wolfhound’s cloud platform to access Client Data to enable the Client to get a better view of its herd’s health metrics and derived insights. Wolfhound 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 Wolfhound intends to manage Client Data.

Categorise and manage

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

Categories

Public

Public data may be shared with anyone. Primarily only users of the Wolfhound Analytics products, but potentially with the public also. For example, aggregated and anonymised figures, national averages and trends.

Private

Only the Client to whom it belongs can view this data. For example, temperature or pH data from a specific cow or herd.

Data Wolfhound may receive from the boluses upon Client’s preference:

Individual / herd pH levels

pH levels of an individual animal or herd for specific times of the day or parts of the year.

Private

Individual / herd temperature levels

Temperature levels of an individual animal or herd for specific times of the day or parts of the year.

Private

Location

The location from which the boluses are actively transmitting data

Private

IP address

The IP address Clients use to access the Wolfhound platform

Private

National average ph levels for specific times of the day or parts of the year.

Aggregated and anonymised to regional or national figures.

Shared

National average temperature levels for specific times of the day or parts of the year.

Aggregated and anonymised to regional or national figures.

Shared

Aggregated and anonymised to regional or national figures.

The primary principle is that any aggregated data released by Wolfhound Analytics must be anonymised 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 cows and farms); 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 anonymised, and therefore usable.

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