Oracle International Corporation

Visa International Service Association

Dirk Reinshagen

Ananth Venkata

Renu Chintalapati

Jagdish Chand

Yu Gu

Hongqin Song

Derek Vroom

Zandro Luis Gonzalez

Somashekhar Pammar

Tarun Jain

Kingdom Nwachi Iweajunwa

Aman Madaan

Venkata Sesha Rao Polavarapu

Sunil Sharma

Ankit Talati

Provided is a method for aggregating data from real-time events (e.g., payment transactions). The method may include receiving event (e.g., transaction) data associated with a plurality of events (e.g., payment transactions). First aggregation of interest data associated with a type of aggregation of interest may be received. A first key associated with each event (e.g., transaction) may be determined based on a first portion of the event (e.g., transaction) data associated with each event (e.g., transaction) and the first aggregation of interest data. A first value based at least partially on a first plurality of the first keys associated with a first subset of the plurality of payment transactions may be communicated based on a first user request. A system and computer program product are also disclosed.

Method, system, and computer program product for real-time data aggregation

In accordance with an embodiment, an analytic applications environment enables data analytics within the context of an organization's enterprise software application or data environment, or a software-as-a-service or other type of cloud environment; and supports the development of computer-executable software analytic applications. A data pipeline or process, such as, for example, an extract, transform, load process, can operate in accordance with an analytic applications schema adapted to address particular analytics use cases or best practices, to receive data from a customer's (tenant's) enterprise software application or data environment, for loading into a data warehouse instance. Each customer (tenant) can additionally be associated with a customer tenancy and a customer schema. The data pipeline or process populates their data warehouse instance and database tables with data as received from their enterprise software application or data environment, as defined by a combination of the analytic applications schema, and their customer schema.

System and method for data analytics with an analytic applications environment

A segmentation platform enables a system that comprises a behavior service and a predictive service for determining a segment from a dataset. The behavior service can analyze data to determine information about behavior that has already occurred. The predictive service can analyze data to determine information about the predicted propensity for certain behavior to occur in the future. In some cases, the predictive service can determine the information by utilizing a training model that indicates predictions related to potential relationships among properties of a dataset. The segmentation platform also enables an interactive user interface that can be utilized to configure attributes of the segment, analyze information associated with the segment, and deliver the information to another device.

Segmentation platform using feature and label pairs

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San Carlos, CA, United States of America

Dirk Reinshagen