System and method for SaaS/PaaS resource usage and allocation in an analytic applications environment

    公开(公告)号:US11436259B2

    公开(公告)日:2022-09-06

    申请号:US16862440

    申请日:2020-04-29

    Abstract: Systems and method for SaaS/PaaS resource usage and allocation in an analytic applications environment. An exemplary method can provide an analytic applications environment, a control plane comprising a server, the control plane further comprises a provisioning component and a console interface, a data warehouse, and a monitoring agent. The method can provision an instance of the data warehouse in the context of a tenant, the provisioned instance of the data warehouse having an initial size. Upon the provisioning the instance of the data warehouse, the method can add adding an entry to a metrics repository of the monitoring agent, the added entry indicative of the initial size of the provisioned instance of the data warehouse, the added entry being tagged, the tag being indicative of the tenant. The method can monitor, by the monitoring agent, an amount of data stored at the provisioned instance of the data warehouse.

    System and method for SAAS/PAAS resource usage and allocation in an analytic applications environment

    公开(公告)号:US12265549B2

    公开(公告)日:2025-04-01

    申请号:US17883471

    申请日:2022-08-08

    Abstract: Systems and method for SaaS/PaaS resource usage and allocation in an analytic applications environment. An exemplary method can provide an analytic applications environment, a control plane comprising a server, the control plane further comprises a provisioning component and a console interface, a data warehouse, and a monitoring agent. The method can provision an instance of the data warehouse in the context of a tenant, the provisioned instance of the data warehouse having an initial size. Upon the provisioning the instance of the data warehouse, the method can add adding an entry to a metrics repository of the monitoring agent, the added entry indicative of the initial size of the provisioned instance of the data warehouse, the added entry being tagged, the tag being indicative of the tenant. The method can monitor, by the monitoring agent, an amount of data stored at the provisioned instance of the data warehouse.

    TECHNIQUES FOR AUTOMATED SIGNAL AND ANOMALY DETECTION

    公开(公告)号:US20190102718A1

    公开(公告)日:2019-04-04

    申请号:US16145963

    申请日:2018-09-28

    Abstract: Predictive analysis techniques are described herein as applied to business variables. In some embodiments, a dynamic dependency model may be generated using a time-series data from a first time period. The model may define relationships between business variables during the first time period. A prediction of values of a variable (e.g., a business variable such as sales, revenue, attrition, or the like) can be generated based on the dynamic dependency model. The prediction of values may be for a second time period after the first time period. The actual values of the variable over the second time period can be obtained and compared to the predicted values to generate a statistical deviation. The statistical deviation may exceed a threshold and, a notification of the statistical deviation may be transmitted to a user device. The notification may alert the user that the variable is likely to miss the targeted/predicted value.

    SYSTEM AND METHOD FOR SAAS/PAAS RESOURCE USAGE AND ALLOCATION IN AN ANALYTIC APPLICATIONS ENVIRONMENT

    公开(公告)号:US20220377022A1

    公开(公告)日:2022-11-24

    申请号:US17883471

    申请日:2022-08-08

    Abstract: Systems and method for SaaS/PaaS resource usage and allocation in an analytic applications environment. An exemplary method can provide an analytic applications environment, a control plane comprising a server, the control plane further comprises a provisioning component and a console interface, a data warehouse, and a monitoring agent. The method can provision an instance of the data warehouse in the context of a tenant, the provisioned instance of the data warehouse having an initial size. Upon the provisioning the instance of the data warehouse, the method can add adding an entry to a metrics repository of the monitoring agent, the added entry indicative of the initial size of the provisioned instance of the data warehouse, the added entry being tagged, the tag being indicative of the tenant. The method can monitor, by the monitoring agent, an amount of data stored at the provisioned instance of the data warehouse.

    SYSTEM AND METHOD FOR SAAS/PAAS RESOURCE USAGE AND ALLOCATION IN AN ANALYTIC APPLICATIONS ENVIRONMENT

    公开(公告)号:US20200349173A1

    公开(公告)日:2020-11-05

    申请号:US16862440

    申请日:2020-04-29

    Abstract: Systems and method for SaaS/PaaS resource usage and allocation in an analytic applications environment. An exemplary method can provide an analytic applications environment, a control plane comprising a server, the control plane further comprises a provisioning component and a console interface, a data warehouse, and a monitoring agent. The method can provision an instance of the data warehouse in the context of a tenant, the provisioned instance of the data warehouse having an initial size. Upon the provisioning the instance of the data warehouse, the method can add adding an entry to a metrics repository of the monitoring agent, the added entry indicative of the initial size of the provisioned instance of the data warehouse, the added entry being tagged, the tag being indicative of the tenant. The method can monitor, by the monitoring agent, an amount of data stored at the provisioned instance of the data warehouse.

    TECHNIQUES FOR AUTOMATIC OPPORTUNITY EVALUATION AND ACTION RECOMMENDATION ENGINE

    公开(公告)号:US20200097879A1

    公开(公告)日:2020-03-26

    申请号:US16580746

    申请日:2019-09-24

    Abstract: Described herein are systems and techniques for identifying at-risk opportunities and generating a recommendation that can be used by the representatives to help salvage the opportunities. Historical information as well as machine learning algorithms are used to identify the failing opportunities by classifying new and currently in-pursuit opportunities using information from past opportunities to identify which of the new and in-pursuit opportunities might be at risk. Distances between opportunities are estimated based on local neighborhoods determined by relevant variables influencing those opportunities in the local neighborhood. The shortest distance between at risk opportunities and winning opportunities can be identified and utilized to generate the recommendation based on the relevant variables for the shortest path. In some embodiments, an ordered list of actions or changes to actions needed for a successful disposition of the opportunity may be generated and provided to the representative.

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