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US 2020/0005210 A1Published application
Real-time analytics and interfaces
AssigneeNCR Corporation
InventorsRodolfo Nacu, JR., Chario Bardoquillo Maxilom, Juhnie Ann Pastoriza
Life of this patent
Estimating the term…
Abstract
A fine-grain analytics engine and a report/notification interface are provided. The fine-grain analytics engine is configured to be customized configured for fine-grain projections and metrics generation for operations of an enterprise. The report/notification interface provides an Application Programming Interface (API) and an interactive graphical display interface for reporting and integrating the projections and metrics generated by the fine-grain analytics engine into enterprise services and enterprise devices.
Claims20
A method, comprising:
- providing an interface to an analytics engine;
- receiving through the interface fine-grain configuration information that is delivered to the analytics engine;
- gathering by the analytics engine historical and real-time data;
- generating by the analytics engine results consistent with the fine-grain configuration information;
- and
- delivering the results in the interface.
3 more elements
A method, comprising:
- integrating interfaces of an analytics engine into enterprise services of an enterprise;
- processing, in real-time by the analytics engine, one or more machine-learning algorithms that provide fine-grain projections, custom-defined metrics, real-time notifications, and suggested promotions for the enterprise;
- and
- providing through the interfaces the fine-grain projections, the custom-defined metrics, the real-time notifications, and the suggested promotions within the enterprise services.
1 more element
A system, comprising:
- a server comprising hardware processor configured to execute executable instructions from a non-transitory computer-readable storage medium as an analytics engine and a report/notification interface;
- the analytics engine is configured to:
- i) execute on the hardware processor of the server, ii) maintain machine-learning algorithms to produce fine-grain projections, custom-defined metrics, real-time notifications, and suggested promotions for an enterprise, and iii) interact with the report/notification interface;
- and
- the report/notification interface configured to:
- i) execute on the hardware processor of the server, ii) receive customized input criteria from enterprise services of the enterprise, iii) deliver the customized input criteria to the analytics engine as input to the machine learning algorithms, and iv) provide the fine-grain productions, custom-defined metrics, real-time notifications, and the suggested promotions produced as output from the machine-learning algorithms in displays associated with devices of the enterprise services.
3 more elements
Dependencies are inferred from the claim text.