Abstract: Techniques of contextual data analysis in distributed computing systems are disclosed herein. In one example, upon receiving operational data and attribute data representing attributes of multiple entities in the distributed computing system, a decision tree is generated based on the received operational and attribute data via machine learning. The decision tree has a root and multiple branches each representing a set of the attributes in the attribute data and a corresponding probability value representing a likelihood that one of the multiple components with the set of the attributes would be associated with an event in the distributed computing system. The multiple branches can then be parsed to identify a common subset of the attributes of the multiple components as most closely related to an occurrence of the event in the distributed computing system.

Abstract: The systems and methods may provide users with an interactive way to form a definition of a business process and later use the business process definition to get a variety of metrics that quantify process cost for the specified process and help users understand how much collaboration happened for a specific process. The systems and methods may also provide capabilities to refine or streamline the business processes for efficiency.

Abstract: A system and method for validating user profile data from a directory application is described. The system accesses user collaboration data of a plurality of users of an application. The system also accesses a directory application that manages user profile data for each user of the plurality of users. A set of heuristics is applied on the user profile data. The system validates results of the applied set of heuristics on the user profile data with the user collaboration data. The quality of the user profile data is assessed based on the validation.

Abstract: A system and method for validating user profile data from a directory application is described. The system accesses user collaboration data of a plurality of users of an application. The system also accesses a directory application that manages user profile data for each user of the plurality of users. A set of heuristics is applied on the user profile data. The system validates results of the applied set of heuristics on the user profile data with the user collaboration data. The quality of the user profile data is assessed based on the validation.

Abstract: A method may include retrieving metric data on a plurality of groups of users, the metric data including: a value of a performance metric for each of the plurality of groups; and an indication that a first group of the plurality of groups is anomalous with respect to a value of the performance metric of a control group of the plurality of groups; and presenting a user interface, the user interface including: a first portion including a visualization of a comparison of the value of the performance metric for the first group and values of the performance metric of other groups in the plurality of groups; and a second portion including a visualization of trend data of the performance metric for the first group over a period of time.

Abstract: A method may include retrieving metric data on a plurality of groups of users, the metric data including: a value of a performance metric for each of the plurality of groups; and an indication that a first group of the plurality of groups is anomalous with respect to a value of the performance metric of a control group of the plurality of groups; and presenting a user interface, the user interface including: a first portion including a visualization of a comparison of the value of the performance metric for the first group and values of the performance metric of other groups in the plurality of groups; and a second portion including a visualization of trend data of the performance metric for the first group over a period of time.

Abstract: A method may include accessing a plurality of data items, each data item in the plurality of data items having a plurality of stored dimensions; selecting a subset of the data items based on a shared value of a first dimension of plurality of dimensions; identifying an outcome metric for the first group; determining a control group for comparison with the first group with respect to the outcome metric, wherein data items in the control group are determined based on dimensions that influence the first dimension and the outcome metric; determining that the outcome metric of the first group is anomalous with respect to the outcome metric of the control group; and presenting a notification to a computing device indicating the anomaly.

Abstract: Instant message servers configured for automatic instant message usage control in an instant message system are disclosed herein. In one example, an instant message server can be configured to determine an IM usage time of the user during the one or more IM sessions based on numbers of the detected occurrences of the IM events and weight factors corresponding to each type of the IM events. The weight factors correlate the numbers of occurrences of each type of the IM events to a corresponding IM usage period for each occurrence. The instant message server can then perform a comparison of the determined IM usage time of the user with a preset threshold and when the IM usage time of the user exceeds the threshold based on the comparison, automatically adjust the IM service provided to the user by the instant message server.

Abstract: Instant message servers configured for automatic instant message usage control in an instant message system are disclosed herein. In one example, an instant message server can be configured to determine an IM usage time of the user during the one or more IM sessions based on numbers of the detected occurrences of the IM events and weight factors corresponding to each type of the IM events. The weight factors correlate the numbers of occurrences of each type of the IM events to a corresponding IM usage period for each occurrence. The instant message server can then perform a comparison of the determined IM usage time of the user with a preset threshold and when the IM usage time of the user exceeds the threshold based on the comparison, automatically adjust the IM service provided to the user by the instant message server.