Privacy Center Concepts

While the Anatomy of Personal Data from the core Concepts Guide focuses on the way data is physically stored in your organization, which is relevant to our Data Privacy Infrastructure, Data Presentation focuses on the way data is described to your end-users (data subjects) in the Privacy Center. While these sections can be read separately, their concepts are tightly bound.

The fields below describe the concepts relevant to displaying personal data back to your user (data subject). These concepts are purely cosmetic and have no bearing on your data systems.

In the Privacy Center, Transcend presents data to data subjects in a way that is more refined than a raw representation of your systems. The ways in which you collect and process user data are collectively known as your Data Practices. This is the information that you inform a data subject about in your Privacy Center and privacy policy.

You can edit your Data Practices on the Privacy Center → tab.

The Privacy Center's configuration page, showing the data practices tab.

Data collections are categories of personal data that you collect on a data subject. These are groupings of datapoints put in a more digestible format. For example, a set of datapoints called "clicks", "page views", and "visits" may be put in a Data Collection called "Analytics". These will be displayed on your Privacy Center and are often already listed in your privacy policy.

We group Data Collections into three categories:

This is data that is given by the data subject directly to your organization.

e.g., Support Tickets, Messages, Email, Address

This is data that is tracked by you about the data subject while they are interacting with your service.

e.g., Pages You View, IP Address

This is data that is acquired from third parties about the data subject.

e.g., Employment information from LinkedIn, data enrichment from Clearbit

Ways in which you use personal data are called Data Applications. They encode the intent for which you collect a certain category of data. Every Data Collection has a set of Data Applications.

We group Data Applications into two categories:

These are ways in which you use that data within your organization.

e.g., Personalize your experience, Market to you, Securely identify you

These are categories of people/organizations/processors that you share the data with. You can use your discretion whether you want to list specific vendors, or whether to group them into categories.

e.g., Companies we own, Partners, Amazon Web Services, Google Analytics