Executable Agents for Enterprise Data Aggregation
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Solution Overview
Problem
Enterprise managers face challenges in accessing current, consistent, and filtered information due to fragmented and inconsistent data scattered across various systems, making it difficult to manage the enterprise effectively, especially with changes in business methodologies leading to information corruption.
Innovation Solution
A method utilizing separate executable agents organized in a network model to aggregate and summarize management information by enhancing data consistency and distributing current data dynamically, with agents performing tasks such as cleansing, normalizing, and assembling data to generate reliable metrics, and storing data in cubes for easy access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is scattered across multiple distributed systems and processes, then the quantity of information sources increases, but data consistency and reliability deteriorate
Solution Approach 1:
The patent introduces data marts as intermediary components between distributed data sources and management information systems. These data marts aggregate, cleanse, and standardize data from multiple sources, acting as mediators that reconcile data inconsistencies while preserving access to diverse information sources. The intermediary layer transforms fragmented data into consistent, reliable information without losing the benefits of multiple sources.
Solution Approach 2:
The patent segments the data architecture into distinct layers: data sources, data marts, and management information systems. This segmentation allows each layer to handle specific functions independently - data sources generate raw information, data marts process and standardize it, and management systems consume refined data. This modular segmentation maintains data consistency while supporting multiple information sources.
2Adaptability or versatility
If ad-hoc processes are used to fulfill information requests, then flexibility in responding to manager needs improves, but information corruption and process complexity increase
Solution Approach 1:
The patent implements dynamic data mart configurations that can adapt to changing management information needs without requiring complex ad-hoc processes. Data marts can be dynamically created, modified, or activated based on current requirements, providing flexibility through a structured framework rather than chaotic customization. This dynamic capability reduces process complexity while maintaining adaptability.
Solution Approach 2:
The patent enables parameter changes in data mart configurations to accommodate different management information requirements. By allowing flexible parameter adjustment in predefined data mart templates, the system adapts to changing needs through controlled parameter modification rather than complex process changes. This maintains information flexibility while preventing process corruption.
3Quantity of substance
If data is aggregated from multiple sources, then the comprehensiveness of management information improves, but data latency and processing time increase
Solution Approach 1:
The patent performs preliminary data aggregation, cleansing, and standardization in data marts before data is requested by management systems. By pre-processing data from multiple sources and maintaining it in ready-to-use formats, the system reduces processing time when information is actually needed. This preliminary action comprehensively aggregates data while minimizing latency during information retrieval.
Solution Approach 2:
The patent implements continuous data refresh and aggregation processes in data marts, maintaining up-to-date information from multiple sources without requiring time-consuming batch processing when data is requested. The continuous action of data collection, validation, and preparation ensures comprehensive information availability with minimal latency.
Data Source
AI summary
Separate executable agents each perform tasks on associated information that is changing over time, to produce current information, Inputs and outputs are delivered among agents to enable assembly of a body of aggregated and summarized management information, based on the current information, to be used to manage at least a portion of an enterprise.