Abstract:
Activities related to data analyses are managed in part using task objects representing tasks that need to be performed. In one embodiment, a method comprises: receiving a first request to generate a task object that describes a task; responsive to the first request, generating the task object, the task object being a data structure that comprises values for task object fields that represent attributes of the task; identifying, in a repository of data objects, a particular data object to associate with the task object; determining that a first field of the task object fields corresponds to a second field of the particular data object, the second field of the particular data object having a particular value; and assigning the first field of the task object to the particular value of the corresponding second field. In another embodiment, task objects are associated with geolocation data, and mapped or otherwise presented accordingly.
Abstract:
Computer-implemented systems and methods are disclosed for providing a tagging interface for tagging external content. In accordance with some embodiments, a method is provided for tagging content external to a database system. The method comprises accessing the external content via a web browser of an electronic device. The method also comprises enhancing the web browser by providing a tagging interface for tagging at least a portion of the external content. The method further comprises receiving created tag associated with a tagged portion of the external document content, and exporting the external content and the received tag to the database system. The tagging interface can also provide an option to export the created tag to an internal database system.
Abstract:
Activities related to data analyses are managed in part using task objects representing tasks that need to be performed. In one embodiment, a method comprises: receiving a first request to generate a task object that describes a task; responsive to the first request, generating the task object, the task object being a data structure that comprises values for task object fields that represent attributes of the task; identifying, in a repository of data objects, a particular data object to associate with the task object; determining that a first field of the task object fields corresponds to a second field of the particular data object, the second field of the particular data object having a particular value; and assigning the first field of the task object to the particular value of the corresponding second field. In another embodiment, task objects are associated with geolocation data, and mapped or otherwise presented accordingly.
Abstract:
An interactive, customizable, user interaction data analysis system is disclosed. The system may be configured to provide cohort-based analysis and/or graphical visualizations of user interaction data to a system operator. User interaction data may be obtained, for example, as users interact with one or more software applications. In various embodiments, interactive and customizable visualizations and analyses provided by the system may be based on user interaction data aggregated across groups of users (also referred to as cohorts of users), across particular time frames, and/or from particular software and/or computer-based applications. According to various embodiments, the system may enable insights into, for example, user interaction patterns, the frequency of software application features accessed, the performance of various aspects of software applications, and/or crashes of software applications, among others.
Abstract:
Activities related to data analyses are managed in part using task objects representing tasks that need to be performed. In one embodiment, a method comprises: receiving a first request to generate a task object that describes a task; responsive to the first request, generating the task object, the task object being a data structure that comprises values for task object fields that represent attributes of the task; identifying, in a repository of data objects, a particular data object to associate with the task object; determining that a first field of the task object fields corresponds to a second field of the particular data object, the second field of the particular data object having a particular value; and assigning the first field of the task object to the particular value of the corresponding second field. In another embodiment, task objects are associated with geolocation data, and mapped or otherwise presented accordingly.
Abstract:
Computer-implemented systems and methods are disclosed for providing a tagging interface for tagging external content. In accordance with some embodiments, a method is provided for tagging content external to a database system. The method comprises accessing the external content via a web browser of an electronic device. The method also comprises enhancing the web browser by providing a tagging interface for tagging at least a portion of the external content. The method further comprises receiving created tag associated with a tagged portion of the external document content, and exporting the external content and the received tag to the database system. The tagging interface can also provide an option to export the created tag to an internal database system.
Abstract:
Computer-implemented systems and methods are disclosed for providing a graphical user interface for tagging external content. In accordance with some embodiments, a method is provided for tagging content external to a database system. The method comprises accessing the external content of an electronic device. The method may comprise enhancing the web browser by providing a tagging interface for tagging at least a portion of the external content. The method may further comprise receiving created tag associated with a tagged portion of the external document content, and exporting the external content and the received tag to the database system. The tagging interface can also provide an option to export the created tag to an internal database system.
Abstract:
An interactive, customizable, user interaction data analysis system is disclosed. The system may be configured to provide cohort-based analysis and/or graphical visualizations of user interaction data to a system operator. User interaction data may be obtained, for example, as users interact with one or more software applications. In various embodiments, interactive and customizable visualizations and analyses provided by the system may be based on user interaction data aggregated across groups of users (also referred to as cohorts of users), across particular time frames, and/or from particular software and/or computer-based applications. According to various embodiments, the system may enable insights into, for example, user interaction patterns, the frequency of software application features accessed, the performance of various aspects of software applications, and/or crashes of software applications, among others.
Abstract:
An interactive, customizable, user interaction data analysis system is disclosed. The system may be configured to provide cohort-based analysis and/or graphical visualizations of user interaction data to a system operator. User interaction data may be obtained, for example, as users interact with one or more software applications. In various embodiments, interactive and customizable visualizations and analyses provided by the system may be based on user interaction data aggregated across groups of users (also referred to as cohorts of users), across particular time frames, and/or from particular software and/or computer-based applications. According to various embodiments, the system may enable insights into, for example, user interaction patterns, the frequency of software application features accessed, the performance of various aspects of software applications, and/or crashes of software applications, among others.
Abstract:
An interactive, customizable, user interaction data analysis system is disclosed. The system may be configured to provide cohort-based analysis and/or graphical visualizations of user interaction data to a system operator. User interaction data may be obtained, for example, as users interact with one or more software applications. In various embodiments, interactive and customizable visualizations and analysis provided by the system may be based on user interaction data aggregated across groups of users (also referred to as cohorts of users), across particular time frames, and/or from particular software and/or computer-based applications. According to various embodiments, the system may enable insights into, for example, user interaction patterns, the frequency of software application features accessed, the performance of various aspects of software applications, and/or crashes of software applications, among others.