Service Generated Data means data generated or derived by Microsoft through the operation of an Online Service. Service Generated Data does not include Customer Data, Diagnostic Data, or Professional Services Data.
Service Generated Data means data or information about the operation, delivery, usage or performance of the SaaS, including, for clarity, activity logs or other data or information about Customer’s usage of the SaaS. Such data or information may be generated or derived automatically by the SaaS or tools associated with it, or manually by or on behalf of HiveMQ.
Service Generated Data means data generated or derived by Microsoft through the operation of the Services. Service Generated Data does not include Data, Diagnostic Data, or Professional Services Data.
Examples of Service Generated Data in a sentence
Munters shall have the right to share and transfer Service Generated Data to third parties to the extent required for the purposes of, including without limitation, provision of services (such as part of an independent service offering), troubleshooting, support, analytical and statistical purposes as well as product development activities.
Munters has no obligation to indemnify a claim in accordance with the foregoing if it arises from (iv) Service Generated Data; (v) unauthorized modification or use of the Services; or (vi) the Customer’s acts or omissions not in accordance with this Agreement.
More Definitions of Service Generated Data
Service Generated Data means data generated or derived by Kajabi through the operation of the Product. Service Generated Data does not include Customer Data.
Service Generated Data spam identification • push notifications • Zoom persistent unique identifiers such as UUID or user ids that are combined with other data elements including: • IP address • Data center • PC name • Microphone • Speaker • Camera • Domain • Hard disc ID • Network type • Operating System Type and Version • Client Version • IP Addresses along the Network Path Support Data: • Contact name of support requestor, time, subject, problem description, post-meeting feedback (thumbs- up/down) • User supplied attachments including recordings, transcripts or screenshots, post-meeting feedback (open text provided with thumbs down) Whether continuous of one off. Continuous The personal data transferred concern the following categories of sensitive data: Special categories of data are not required to use the service. The Customer / data exporter can prevent the processing of these data by using end to end encryption in the Meetings and preventing End Users from uploading profile information that contains such special categories of data. Such special categories of data include, but may not be limited to, Personal Data with information revealing racial or ethnic origins, political opinions, religious or philosophical beliefs, trade union membership, and the processing of data concerning an individual’s health or sex life.
Service Generated Data spam identification • push notifications • Zoom persistent unique identifiers such as UUID or user ids that are combined with other data elements including: • IP address • Data center • PC name • Microphone • Speaker • Camera • Domain • Hard disc ID • Network type • Operating System Type and Version • Client Version • IP Addresses along the Network Path Support Data: • problem description, post-meeting feedback Whether continuous or one-off. The transfer of account information is one off, otherwise continuous when using the Service The personal data transferred concern the following categories of sensitive data: Not applicable if end to end encryption is enabled, and if End Users do not upload profile pictures revealing special categories of data Duration of processing: In accordance with the retention period detailed below. Nature and Subject Matter of the Processing: Zoom will process Customer Personal Data for its own exhaustive list of Legitimate Business Purposes when strictly necessary and proportionate, in accordance with the Addendum. Retention period (or, if not possible to determine, the criteria used to determine that period): Zoom retains Customer Personal Data for as long as required for its own exhaustive list of Legitimate Business Purposes, in accordance with the Addendum. The criteria used to determine Zoom’s retention periods include the following: • The length of time of Zoom’s relationship with Service users (for example, the duration of a Zoom account) • Whether account owners modify or their users delete information through their accounts • Whether Zoom has a legal obligation to keep the data (for example, certain laws require Zoom to keep records for a certain period of time) • Whether retention is required by Zoom’s legal position (such as in regard to the enforcement of agreements, the resolution of disputes, and applicable statutes of limitations, litigation, or regulatory investigation).
Service Generated Data means usage data and metadata that is generated through the use of the Services, including data generated through the use of Support Services. This Addendum applies to Service-Generated Data to the extent Service-Generated Data constitutes Personal Data.
Service Generated Data means all data and information collected from connected products or otherwise generated as part of the use of the Services and stored in and processed, in whatever format (e.g. raw data, as processed and visualised in data logs and reports, etc.), through or as a part of the Services, as well as information about the operation, use or performance of the Services; and
Service Generated Data means all data generated or derived from a Customer’s and Authorized Users’ interaction with the Service, including data such as crash history, time the Service takes to load, configuration data; and diagnostic, capacity, and usage information to determine storage requirements.
Service Generated Data means all data generated or derived from a user’s interaction with and use of the Storybuilder Service, including data such as crash history, time the Storybuilder Service takes to load, configuration data, capacity, and usage to determine storage requirements.