IDENTIFYING REGULATOR AND DRIVER SIGNALS IN DATA SYSTEMS

    公开(公告)号:US20230039981A1

    公开(公告)日:2023-02-09

    申请号:US17963770

    申请日:2022-10-11

    Abstract: A method of identifying causal relationships between time series may include accessing a hierarchy of nodes in a data structure, where each node in the plurality of nodes may include a time series of data. The method may also include identifying a subset of nodes in the plurality of nodes for which causal relationships may exist in the corresponding time series. The method may additionally include generating a model for each of the subset of nodes, where the model may receive the subset of nodes and generate coefficients indicating how strongly each of the subset of nodes causally affects other nodes in the subset of nodes. The method may further include generating a ranked output of nodes that causally affect a first node in the subset of nodes based on an output of the corresponding model.

    Identifying regulator and driver signals in data systems

    公开(公告)号:US11467803B2

    公开(公告)日:2022-10-11

    申请号:US17018794

    申请日:2020-09-11

    Abstract: A method of identifying causal relationships between time series may include accessing a hierarchy of nodes in a data structure, where each node in the plurality of nodes may include a time series of data. The method may also include identifying a subset of nodes in the plurality of nodes for which causal relationships may exist in the corresponding time series. The method may additionally include generating a model for each of the subset of nodes, where the model may receive the subset of nodes and generate coefficients indicating how strongly each of the subset of nodes causally affects other nodes in the subset of nodes. The method may further include generating a ranked output of nodes that causally affect a first node in the subset of nodes based on an output of the corresponding model.

    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.

    Uploading external files and associating them with existing data models

    公开(公告)号:US11741118B2

    公开(公告)日:2023-08-29

    申请号:US17727141

    申请日:2022-04-22

    CPC classification number: G06F16/25

    Abstract: A computer-implemented method includes providing a fixed portion of a data model, uploading external files to an extended portion of the data model, matching at least some parts of the external files to the fixed portions of the data model, and using data from both the fixed and extended portions of the data model together. A computer-implemented method includes receiving a query from a user to a data model that includes a stored subject area portion and a stored extended subject area portion, accessing at least one storage to retrieve the subject area portion and the extended subject area portion, joining relevant portions of the subject area and extended subject area, extracting answers to the query from the joined portions, and reporting the answers to the user.

    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.

    Uploading external files and associating them with existing data models

    公开(公告)号:US11314760B2

    公开(公告)日:2022-04-26

    申请号:US14862539

    申请日:2015-09-23

    Abstract: A computer-implemented method includes providing a fixed portion of a data model, uploading external files to an extended portion of the data model, matching at least some parts of the external files to the fixed portions of the data model, and using data from both the fixed and extended portions of the data model together. A computer-implemented method includes receiving a query from a user to a data model that includes a stored subject area portion and a stored extended subject area portion, accessing at least one storage to retrieve the subject area portion and the extended subject area portion, joining relevant portions of the subject area and extended subject area, extracting answers to the query from the joined portions, and reporting the answers to the user.

    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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