Call center analysis
    1.
    发明授权

    公开(公告)号:US10069972B1

    公开(公告)日:2018-09-04

    申请号:US15633697

    申请日:2017-06-26

    Applicant: Splunk, Inc.

    Abstract: One or more embodiments related to a method that includes querying a data store for current interaction data between call center personnel and customers. The call center personnel are grouped into call center groups. The method further includes determining, for at least some call center groups, a current interaction metric specific to the call center group. The current interaction method is provided for each of the at least some call center groups.

    Monitoring framework
    3.
    发明授权

    公开(公告)号:US11172065B1

    公开(公告)日:2021-11-09

    申请号:US16904489

    申请日:2020-06-17

    Applicant: Splunk Inc.

    Abstract: One or more embodiments related to a method that includes querying a data store for current interaction data between call center personnel and customers. The call center personnel are grouped into call center groups. The method further includes determining, for at least some call center groups, a current interaction metric specific to the call center group. The current interaction method is provided for each of the at least some call center groups.

    FRAMEWORK FOR SUPPORTING A CALL CENTER
    6.
    发明申请

    公开(公告)号:US20180375999A1

    公开(公告)日:2018-12-27

    申请号:US16051322

    申请日:2018-07-31

    Applicant: Splunk, Inc.

    Abstract: One or more embodiments related to a method that includes querying a data store for current interaction data between call center personnel and customers. The call center personnel are grouped into call center groups. The method further includes determining, for at least some call center groups, a current interaction metric specific to the call center group. The current interaction method is provided for each of the at least some call center groups.

    Real-time measurement and system monitoring based on generated dependency graph models of system components

    公开(公告)号:US11620300B2

    公开(公告)日:2023-04-04

    申请号:US16147337

    申请日:2018-09-28

    Applicant: Splunk Inc.

    Abstract: Machine data is collected from multiple sources of an operating environment such as an information technology system, factory floor, or the like, into a data intake and query system, in one embodiment. Metrics representative of the environment are included in or derived from the data. Users may interact with an interface to depict a representation of various metrics and interdependencies and that depiction is reflected in a computer storage model. Changes to the computer storage model based on the user interaction may also result in training of a machine learning model according to the user interaction, the machine learning model configured to determine a prediction, classification or clustering of a result of a first search query by utilizing a result of at least a second search query as input to the machine learning model.

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