Centralized Data Warehouse for Privacy-Preserving Offer Processing
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Solution Overview
Problem
Current systems lack an efficient and integrated solution for processing transaction data from various payment methods to provide personalized and targeted advertisements and offers across multiple channels, while ensuring user privacy and automating offer redemption.
Innovation Solution
A system that processes transaction data from credit, debit, and prepaid accounts to generate user profiles, correlate online and offline activities, and provide personalized advertisements, while allowing automated offer redemption through a centralized data warehouse and mobile device integration, ensuring user consent and privacy protection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If transaction data from multiple payment methods is processed to provide personalized advertisements, then marketing effectiveness and user engagement are improved, but user privacy and data security concerns increase
Solution Approach 1:
The patent introduces a centralized data warehouse as an intermediary layer between transaction data sources and advertising systems. This data warehouse aggregates and anonymizes transaction data from multiple payment methods (credit cards, debit cards, prepaid cards) before making it available for personalized advertising, thereby enabling marketing effectiveness while protecting user privacy through data abstraction and centralized control
Solution Approach 2:
The system creates a universal platform that handles multiple payment methods and multiple advertising channels through a single integrated architecture. The centralized data warehouse serves multiple functions: data aggregation, anonymization, storage, and distribution to various advertising channels, reducing privacy risks by consolidating data handling in one secure location rather than分散 across multiple systems
2Productivity
If offer redemption is automated across multiple channels, then processing efficiency and user convenience are improved, but system complexity increases
Solution Approach 1:
The patent merges multiple offer redemption channels (online, offline, mobile) into a single automated system centered around the centralized data warehouse. By combining data from transaction processing systems, advertising platforms, and mobile devices into one unified architecture, the system achieves efficient cross-channel offer redemption without proportionally increasing complexity, as the data warehouse serves as a central coordination point
3Speed
If real-time transaction data processing is implemented, then personalized advertising delivery speed is improved, but computational resource requirements increase
Solution Approach 1:
The system performs preliminary actions by continuously aggregating and pre-processing transaction data in the centralized data warehouse before advertising campaigns are launched. Transaction data is collected, anonymized, and organized in advance, so when personalized advertisements need to be delivered in real-time, the computational work has already been partially completed, reducing the resource requirements for immediate processing while maintaining fast delivery speed
Data Source
AI summary
A mobile device is configured with a mobile application to direct a user to a location of more interest to the user based on benefits of offers provided to the user. The mobile application may be configured to capture an image of an offer presented in an advertisement via a digital camera, identify the offer from the image, and store data associating the offer with one or more accounts of the user. The mobile application is configured to present information to suggest a direction of travel to the user for improved opportunities to take advantage of the offers.