In this section, you will find an overview of the terminology used in this privacy policy. Where the terminology is legally defined, their legal definitions apply. The following explanations, however, are primarily intended to aid understanding.
Contact data: Contact details are essential information that enables communication with individuals or organizations. They include, among others, phone numbers, postal addresses, and email addresses, as well as means of communication like social media handles and instant messaging identifiers.
Content Delivery Network (CDN):
A "Content Delivery Network" (CDN) is a service with whose help contents of our online services, in particular large media files, such as graphics or scripts, can be delivered faster and more securely with the help of regionally distributed servers connected via the Internet.
Content data: Content data comprise information generated in the process of creating, editing, and publishing content of all types. This category of data may include texts, images, videos, audio files, and other multimedia content published across various platforms and media. Content data are not limited to the content itself but also include metadata providing information about the content, such as tags, descriptions, authorship details, and publication dates.
Controller: "Controller" means the natural or legal person, public authority, agency or other body which, alone or jointly with others, determines the purposes and means of the processing of personal data.
Inventory data: Inventory data encompass essential information required for the identification and management of contractual partners, user accounts, profiles, and similar assignments. These data may include, among others, personal and demographic details such as names, contact information (addresses, phone numbers, email addresses), birth dates, and specific identifiers (user IDs). Inventory data form the foundation for any formal interaction between individuals and services, facilities, or systems, by enabling unique assignment and communication.
Log data: Protocol data, or log data, refer to information regarding events or activities that have been logged within a system or network. These data typically include details such as timestamps, IP addresses, user actions, error messages, and other specifics about the usage or operation of a system. Protocol data is often used for analyzing system issues, monitoring security, or generating performance reports.
Meta, communication and process data: Meta-, communication, and procedural data are categories that contain information about how data is processed, transmitted, and managed. Meta-data, also known as data about data, include information that describes the context, origin, and structure of other data. They can include details about file size, creation date, the author of a document, and modification histories. Communication data capture the exchange of information between users across various channels, such as email traffic, call logs, messages in social networks, and chat histories, including the involved parties, timestamps, and transmission paths. Procedural data describe the processes and operations within systems or organisations, including workflow documentations, logs of transactions and activities, and audit logs used for tracking and verifying procedures.
Personal Data: "personal data" means any information relating to an identified or identifiable natural person ("data subject"); an identifiable natural person is one who can be identified, directly or indirectly, in particular by reference to an identifier such as a name, an identification number, location data, an online identifier or to one or more factors specific to the physical, physiological, genetic, mental, economic, cultural or social identity of that natural person.
Processing: The term "processing" covers a wide range and practically every handling of data, be it collection, evaluation, storage, transmission or erasure.
Profiles with user-related information: The processing of "profiles with user-related information", or "profiles" for short, includes any kind of automated processing of personal data that consists of using these personal data to analyse, evaluate or predict certain personal aspects relating to a natural person (depending on the type of profiling, this may include different information concerning demographics, behaviour and interests, such as interaction with websites and their content, etc.) (e.g. interests in certain content or products, click behaviour on a website or location). Cookies and web beacons are often used for profiling purposes.
Usage data: Usage data refer to information that captures how users interact with digital products, services, or platforms. These data encompass a wide range of information that demonstrates how users utilise applications, which features they prefer, how long they spend on specific pages, and through what paths they navigate an application. Usage data can also include the frequency of use, timestamps of activities, IP addresses, device information, and location data. They are particularly valuable for analysing user behaviour, optimising user experiences, personalising content, and improving products or services. Furthermore, usage data play a crucial role in identifying trends, preferences, and potential problem areas within digital offerings
Web Analytics: Web Analytics serves the evaluation of visitor traffic of online services and can determine their behavior or interests in certain information, such as content of websites. With the help of web analytics, website owners, for example, can recognize at what time visitors visit their website and what content they are interested in. This enables them, for example, to better adapt the content of their websites to the needs of their visitors. For the purposes of web analytics , pseudonymous cookies and web beacons are often used to recognize returning visitors and thus obtain more precise analyses of the use of an online service.