Multi-step day sales outstanding forecasting

    公开(公告)号:US11107166B2

    公开(公告)日:2021-08-31

    申请号:US16140760

    申请日:2018-09-25

    Inventor: Paul O'Hara Ying Wu

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, to predict future Day Sales Outstanding (DSO) forecasts for a number of future time periods. In one aspect, a method includes receiving open receivables financial line item data and revenue financial line item data, providing the open receivables financial line item data to a DSO predictor engine to generate a predicted open receivables that includes a multi-step time series forecasting regression generated from the open receivables financial line item data, providing the revenue financial line item data to the DSO predictor engine to generate a predicted revenue comprising the multi-step time series forecasting regression generated from the revenue financial line item data; generating a predicted DSO with the predicted open receivables and predicted revenue, and providing the predicted DSO to a client device.

    Semantic contextual element linking
    103.
    发明授权

    公开(公告)号:US11048761B2

    公开(公告)日:2021-06-29

    申请号:US16218755

    申请日:2018-12-13

    Abstract: Methods, systems, and computer-readable storage media for receiving, by a semantic context service, a semantic context associated with a report generated by a first analytical tool, storing, by the semantic context service, the semantic context, receiving, by the semantic context service, a semantic context request from a second analytical tool, the semantic context request including a set of parameters, determining, by the semantic context service, a response to the semantic context request based on the set of parameters, the response including the semantic context, and returning, by the semantic context service, the response to the second analytical tool, the second analytical tool applying the semantic context to a report generated by the second analytical tool.

    Handling of Point Of Interest (POI) Data Content

    公开(公告)号:US20210182320A1

    公开(公告)日:2021-06-17

    申请号:US16710994

    申请日:2019-12-11

    Abstract: Point-of-Interest (POI) data is stored according to a first, POI library as a flat file in a database. An engine is positioned between the POI library and an interface. The interface is configured to interact with data structured in a hierarchical manner and stored according to a second library (e.g., a modeling interface utilizing folders). The engine functions to wrap a POI object taken from a table of the POI library, into an augmented object recognized and handled by the second library of the (hierarchical) interface. To accomplish this, the engine augments the POI table with an additional column that is to be indexed by the second library. In this manner, embodiments may impart additional, hierarchy-based functionality to existing POI handling schemes. Particular embodiments may impart enhanced security (e.g., permissions at the data object-level) to existing POI schemes that implement permissions only at the POI-level and/or at the application-level.

    PARTIALLY IMMUTABLE MODEL
    106.
    发明申请

    公开(公告)号:US20210048990A1

    公开(公告)日:2021-02-18

    申请号:US16540413

    申请日:2019-08-14

    Inventor: Johnson Wong

    Abstract: A system includes determination of a component state tree of an application, determination of a node of the component state tree, where all child nodes of the node have been refactored to comprise an immutable model, determination of a consumer component associated with invalid access to a state of the node, and modification of the access to the state of the node by the consumer component.

    Learning user interests for recommendations in business intelligence interactions

    公开(公告)号:US10915522B2

    公开(公告)日:2021-02-09

    申请号:US15964814

    申请日:2018-04-27

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for improving recommendation to users in data intelligence systems. In one aspect, a method includes the actions of receiving a current observation describing an interaction of a user with a data intelligence system; identifying a current user interest based on the current observation, wherein past observations of the user with the data intelligence system are clustered to form user interests in a Markov model; using the Markov model and based on the current user interest, determining a next user interest from the user interests; extracting a one past observation from the determined next user interest based on a selection criterion and a threshold, wherein the selection criterion is based on how closely the at least one past observation matches the current observation; and sending a recommendation to the user based on the past observation.

    System and method of data wrangling
    108.
    发明授权

    公开(公告)号:US10417223B2

    公开(公告)日:2019-09-17

    申请号:US15720930

    申请日:2017-09-29

    Abstract: In some example embodiments, a graphical user interface (GUI) is caused to be displayed on a computing device of a user. The GUI can be configured to enable the user to submit an identification of a dataset and at least one configuration parameter. The identification of the data source and the at least one configuration parameter can be received via the GUI on the computing device. A sampling algorithm can be configured based on the at least one configuration parameter. A sample of data from the dataset can be generated using the configured sampling algorithm. The time parameter can limit an execution time of the generating of the sample of data to within a maximum amount of time indicated by the user.

    Ephemeral store-based auto-save for applications with a persistence layer

    公开(公告)号:US10379969B2

    公开(公告)日:2019-08-13

    申请号:US14964244

    申请日:2015-12-09

    Inventor: James Crawford

    Abstract: The disclosure generally describes methods, software, and systems, including a method for using and managing ephemeral tables. User inputs associated with a database management system are received from an application. The user inputs are associated with a particular user and a particular application. From an auto-save cache index, one or more ephemeral tables are identified that are associated with the user inputs. The ephemeral tables are mapped to one or more tables in the database management system. Using the user inputs and the auto-save cache index, the one or more ephemeral tables are updated. Information associated with the user inputs is automatically stored on a temporal basis. The information survives database sessions, transaction boundaries, and database management system restarts.

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