Accenture Global Services Gmbh

Bryan Michael Walker

David T Nguyen

Leeann Chau Tuyet Dang

Christopher John Hawkins

Ziqiu Li

Hyon S Chu

Serena Tsiao-Yi Cheng

Owen Edward Richter

Sonali Parthasarathy

Charles Michael Portell

Lukas M Lundell

Leeann Chau Dang

David Tong Nguyen

Ziqui Li

A computer system may access an attributization rule and convert, based on the attributization rule, profile data into attributes for a robust recipient profile. The system may identify, based on tag logic, tags that are associated with the attributes. The tag logic may include instructions to compare the attributes with predetermined attributes associated with the tags. The system may map the identified tags to the recipient identifier. The system may perform communication with a mobile device based on the robust recipient profile and a real-time location of the mobile device. To perform the communication, the system may monitor the plurality of data channels for data comprising real-time location information for the mobile device. The system may determine the mobile device is proximate to a physical object that is associated with the tag and the system may transmit offer information to the mobile device.

Robust multichannel targeting

A computer system constructs a robust recipient profile. The system receives data associated with recipient digital interactions from, e.g., streaming and/or batch sources. The recipient data may include digital transactional data, social media data, or other recipient-specific information. The system may employ heuristic data ingestion processing to derive further data based on the data inputs and attributization, and thereby may develop a robust recipient profile by aggregating the processed and derived data. The system may implement production rules to determine recipient-specific custom metadata based on the robust recipient profile to transmit to the recipient.

System architecture for customer genome construction and analysis

The distributed metering and monitoring service (DMMS) system provides a way to gather and maintain metrics data which remains distributed, until requested. The DMMS system uses messaging queues to scale the number of servers that may be monitored and metered to a hyperscale of greater than 10,000 servers. The DMMS system determines how many servers (nodes) to assign to a cluster, and uses a metric aggregator to collect and store metrics data for the nodes. The DMMS system creates message queues for the instances, injects instance identifiers into the cluster state data and metrics data, listens for request messages for metering information for instances, retrieves the metrics data for users identified by the instance identifiers stored locally at the nodes, and calculates the metering information for the instance.

Distributed metering and monitoring system

Growing community of inventors

Sunnyvale, CA, United States of America

Bryan Michael Walker