Abstract: A computing device receives an indication of a selected category of items relating to call quality for a plurality of voice calls, such as sites, wireless network identifiers, driver software versions, client software versions, protocols (e.g., virtual private network (VPN), Transmission Control Protocol (TCP), and User Datagram Protocol (UDP)), connectivity methods, and edge servers used in the calls. The computing device selects items in the selected category based on volume of calls. The computing device calculates percentages of poor calls associated with the items, and identifies high-volume poor call items. The computing device also may calculate impact ranks for categories of items, e.g., based on distribution of poor calls, with a lower rank being assigned if poor calls are evenly distributed, and a higher rank being assigned if a small number of items contribute disproportionately to the volume of poor calls.

Abstract: The present disclosure includes descriptions of various aspects of unified communication (UC) systems, including UC management and analysis systems and related tools and techniques. Described systems, tools, and techniques are adapted for enhanced UC data capture, analysis, and reporting; enhanced UC monitoring services; and a user survey service that can be used for conducting user surveys related to UC services. Embodiments disclosed herein include computer systems and methods that can be used for analyzing service level objectives for call quality, classifying calls into distinct categories, and real-time user notification of call quality and reliability issues.

Abstract: The present disclosure includes descriptions of various aspects of unified communication (UC) systems, including UC management and analysis systems and related tools and techniques. Described systems, tools, and techniques are adapted for enhanced UC data capture, analysis, and reporting; enhanced UC monitoring services; and a user survey service that can be used for conducting user surveys related to UC services. Embodiments disclosed herein include computer systems and methods that can be used for analyzing service level objectives for call quality, classifying calls into distinct categories, and real-time user notification of call quality and reliability issues.

Abstract: The present disclosure includes descriptions of various aspects of unified communication (UC) systems, including UC management and analysis systems and related tools and techniques. Described systems, tools, and techniques are adapted for enhanced UC data capture, analysis, and reporting; enhanced UC monitoring services; and a user survey service that can be used for conducting user surveys related to UC services. Embodiments disclosed herein include computer systems and methods that can be used for analyzing service level objectives for call quality, classifying calls into distinct categories, and real-time user notification of call quality and reliability issues.

Abstract: The present disclosure includes descriptions of various aspects of unified communication (UC) systems, including UC management and analysis systems and related tools and techniques. Described systems, tools, and techniques are adapted for enhanced UC data capture, analysis, and reporting; enhanced UC monitoring services; and a user survey service that can be used for conducting user surveys related to UC services. Embodiments disclosed herein include computer systems and methods that can be used for analyzing service level objectives for call quality, classifying calls into distinct categories, and real-time user notification of call quality and reliability issues.

Abstract: The subject invention pertains to systems and methods for interacting with fact dimensions. In particular, systems and methods are disclosed that optimize performance and scalability with respect to processing queries that involve fact dimensions. Furthermore, queries involving fact dimensions can be evaluated in distinct manners. For instance, queries can be processed such that regular dimensions restrict the scope of the data and only fact dimension members that are relevant to that scope are exposed.

Abstract: The ability to link dimensions and measure groups in one analysis database to a second database is provided. This feature enables the use of the dimension or measure group without physically creating and managing the contents of the cube so defined.

Abstract: Custom grouping for dimension members of an On-Line Analytical Processing (OLAP) cube is facilitated by an interface component that receives a grouping from a user. A modification component alters an attribute of a session OLAP data cube or a virtual OLAP multi-dimensional data cube so that the change becomes readily available without the time-consuming delay associated with rebuilding or reprocessing the underlying structure. A data scheme generation component produces a data definition language (DDL) definition of a user defined attribute executed by an execution component to affect the change to a data cube. Custom groupings can provide an intermediate dimension level for drill down and/or drill up or roll-up between a level with few members and a level with numerous members. A separate dimensional attribute or level can be created and a group defined comprising or mapping a set or collection of discrete members.

Abstract: The subject invention pertains to systems and methods for interacting with fact dimensions. In particular, systems and methods are disclosed that optimize performance and scalability with respect to processing queries that involve fact dimensions. Furthermore, queries involving fact dimensions can be evaluated in distinct manners. For instance, queries can be processed such that regular dimensions restrict the scope of the data and only fact dimension members that are relevant to that scope are exposed.

Abstract: The subject disclosure pertains to swift and efficient modification of multidimensional database cubes. For example, support is provided for the addition of custom groupings of dimension members. In one instance, the custom groupings can provide an intermediate dimension level for drill down and/or drill up or roll-up between a level with few members and a level with numerous members. A separate dimensional attribute or level can be created and a group defined comprising or mapping a set or collection of discrete members. Furthermore, the custom grouping can be realized without the delay associated with rebuilding, reprocessing or reloading dimensional structures.

Abstract: In order to allow the use of data in dimension attributes for grouping members of a dimension, dimension attribute data is analyzed so it can be used as if it were data for a categorical attribute with a manageable number of states. The values possible for the dimension attribute are divided into groups. This is done by determining the distribution of data. An approximate distribution may be determined (by sampling some data) or an actual distribution may be determined (by sampling all data). The distribution is then used to determine the groups into which the range of data values will be divided. Each group is then treated as if it were a state for a categorical-type dimension attribute. A state can be determined for a member by determining which subrange contains the value for the dimension attribute for the member. The number of groups can be determined by a user or determined dynamically, e.g. to best fit the distribution found.

Abstract: Systems and methodologies are provided for synchronizing a state of a target serve with that of a source server. During such synchronization process users that interact with the target server can still query data therefrom, with no interruption of service, and are switched to a new state of database upon completion of the synchronization process. Additionally, a transaction consistency is maintained and system administrators are enabled to change location of the data caches, and distribute data and/or applications among a plurality of server configurations by the synchronization process.

Abstract: The present invention relates to a system and method of translating stored data. In particular the present invention facilitates multilingual interaction with a data store by providing a translation component between data stored in one language and users that prefer to interact in one or more different languages. Queries or commands can be executed on a database and results presented in any one of a plurality of languages selected by a user. Furthermore, a mechanism is also provided to allow users to enter queries in their preferred language rather than the language of the underlying system.

Abstract: The ability to link dimensions and measure groups in one analysis database to a second database is provided. This feature enables the use of the dimension or measure group without physically creating and managing the contents of the cube so defined.