Centralized Data Warehouse for Personalized Payment Advertising
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Solution Overview
Problem
Current systems for processing transaction data from payment cards lack efficient methods to provide personalized and targeted advertisements while ensuring user privacy and automating offer redemption across various channels.
Innovation Solution
A system that processes transaction data to generate user profiles, correlates online and offline activities, and provides personalized advertisements by integrating transaction data with account, merchant, search, and social networking data, enabling real-time offer redemption and payment processing through a centralized data warehouse.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If transaction data is processed to generate user profiles and provide personalized advertisements, then advertising efficiency and user targeting are improved, but user privacy protection becomes more challenging
Solution Approach 1:
The system segments user data into different categories (account data, merchant data, search data, social networking data) and processes them separately through specialized modules. The centralized data warehouse stores segmented data in a structured manner, allowing personalized advertising while maintaining privacy through controlled data access and processing boundaries.
Solution Approach 2:
The centralized data warehouse acts as an intermediary between raw transaction data and personalized advertising outputs. It processes and correlates data from multiple sources, generating user profiles and enabling targeted advertisements without directly exposing raw user information, thus mediating between advertising efficiency and privacy protection.
2Measurement precision
If online and offline activities are correlated to provide comprehensive user profiles, then advertisement targeting accuracy is improved, but system complexity increases
Solution Approach 1:
The system merges multiple data sources (account data, merchant data, search data, social networking data) into a unified centralized data warehouse. By combining these diverse data types in one structured repository, the system achieves comprehensive user profiling and accurate targeting while managing complexity through centralized organization rather than distributed processing.
Solution Approach 2:
The centralized data warehouse serves multiple functions: storing transaction data, correlating online and offline activities, generating user profiles, and enabling personalized advertising. This multi-functional design achieves comprehensive targeting accuracy while reducing overall system complexity by consolidating multiple specialized systems into one universal platform.
3Ease of operation
If real-time offer redemption is implemented across multiple channels, then customer service quality is improved, but processing time and system complexity increase
Solution Approach 1:
The system performs preliminary actions by pre-processing and structuring transaction data in the centralized data warehouse before real-time offer redemption is needed. User profiles and correlated activity data are prepared in advance, enabling rapid real-time processing when offers need to be redeemed across multiple channels without adding processing time.
Solution Approach 2:
The centralized data warehouse maintains continuous processing and correlation of transaction data, ensuring that offer redemption can occur in real-time across multiple channels without interruption. The continuous operation of the data warehouse ensures that customer service quality is improved while processing time is minimized through always-available data access.
Data Source
AI summary
In one aspect, an account identifier is associated with a deal purchased by a user from a deal site. The deal has a face value applicable to a transaction with a predetermined merchant, if the transaction satisfies one or more predetermined criteria. The user pays the deal site an amount smaller than the face value. When the account identifier is used at a transaction terminal to initiate a payment transaction, a transaction handler determines whether the payment transaction satisfies the one or more predetermined criteria; and if so, the transaction handler provides the transaction terminal with an authorization response identifying the remaining balance, which is determined by deducting the face value from the payment transaction. The account identifier may be a one-time account number generated specifically for the deal purchased by the user, or an account number of the user used to purchase the deal from the deal site.