Entity Information Monitoring Across Heterogeneous Data Stores
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Solution Overview
Problem
Modern organizations face challenges in harmonizing data across various data stores within an enterprise, leading to inconsistencies and difficulties in cross-data store information sharing, which affects the ability to provide coherent insights and effective support to users.
Innovation Solution
A system and method that interfaces with multiple data stores to generate entity information by intercepting signals, determining entity identities, and generating interaction basis information for presentation to support agents, without requiring data harmonization across all data sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data stores are harmonized across the enterprise, then data coherency and information sharing are improved, but system complexity and implementation effort increase substantially
Solution Approach 1:
The patent introduces a monitoring system as an intermediary component that sits between multiple data stores and the user interface. This monitoring system intercepts signals from various data stores, normalizes them into a common format, and presents unified information to users. By placing this intermediary layer, the system achieves data coherency without requiring fundamental changes to the underlying heterogeneous data stores, thus avoiding substantial system complexity while maintaining reliability.
Solution Approach 2:
The patent segments the data access architecture into distinct functional layers: the existing heterogeneous data stores remain independent, the monitoring system handles signal interception and normalization, and the user interface receives unified information. This segmentation allows each component to maintain its own characteristics while achieving overall system coherence, resolving the contradiction between data coherency and system complexity.
2Adaptability or versatility
If comprehensive data harmonization is implemented, then cross-data store information sharing is improved, but implementation time and resources increase
Solution Approach 1:
The monitoring system serves as a mediator that enables information sharing across heterogeneous data stores without requiring comprehensive harmonization. It intercepts signals from various data stores, standardizes their format, and presents unified information to users. This approach provides adaptability and versatility for cross-data store information sharing while avoiding the substantial implementation time and resources that would be required for complete data harmonization.
Solution Approach 2:
Instead of implementing complete data harmonization across all data stores, the patent applies partial action by focusing on the monitoring and presentation layer. The monitoring system performs sufficient normalization to enable effective information sharing and user interaction, without requiring full harmonization of all underlying data stores. This partial approach achieves the necessary adaptability while significantly reducing implementation time and resources.
3Adaptability or versatility
If multiple data stores with different formats are used, then system flexibility and specialized functionality are improved, but data integration and coherence become more difficult
Solution Approach 1:
The monitoring system acts as an intermediary that handles data integration complexity while preserving system flexibility. It intercepts signals from multiple heterogeneous data stores with different formats, normalizes them into a unified representation, and presents coherent information to users. This allows the system to maintain flexible, specialized data stores for different functions while the monitoring system manages the integration complexity, resolving the contradiction between system flexibility and data integration complexity.
Data Source
AI summary
Entity information generation is provided. A method includes receiving a signal corresponding to a first interaction with an entity. The method includes determining an indication of an entity identity based on the signal. The method includes receiving a query associated with the entity, based on the entity identity. The method includes generating, responsive to the query, interaction basis information, the interaction basis information based on the signal. The method includes presenting the interaction basis information via a user interface.


