Heterogeneous Data Integration System for Real-Time Visibility
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Solution Overview
Problem
Large-scale organizations face challenges in efficiently collecting, accessing, and integrating voluminous disparate data from multiple sources for effective production and monitoring, leading to difficulties in creating accurate and user-friendly reports, particularly in identifying risk factors and obtaining historical information, which can result in severe business impacts due to lack of real-time visibility and decision-making capabilities.
Innovation Solution
A computer-implemented system that integrates and presents heterogeneous information by storing rules, generating commands, extracting time-sensitive data, validating and processing it, and displaying it through dashboards and reports, allowing for real-time visibility and role-based access, enabling quick decision-making and interaction across teams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If manual data collection from multiple sources is performed, then data can be gathered, but it takes much effort and time
Solution Approach 1:
The patent introduces an intermediary system comprising automated crawlers, extractors, and validators that act as mediators between multiple data sources and the user. These components automatically collect, extract, and validate data from diverse sources without requiring manual intervention, thereby resolving the contradiction between collecting voluminous data and spending excessive time on data gathering.
Solution Approach 2:
The system enables self-service through automated data collection mechanisms where the crawlers and extractors autonomously navigate information sources, extract relevant data, and validate it without human assistance. This self-serving automation eliminates the manual effort and time previously required for data collection while maintaining comprehensive data coverage.
2Loss of information
If all heterogeneous data is collected and presented to the user, then complete information is available, but it becomes difficult to sift through and identify required data
Solution Approach 1:
The patent applies the extraction principle by selectively extracting only the relevant and required data from the vast heterogeneous information collected. The extractor component identifies and extracts specific data elements based on predefined criteria, and the validator ensures data quality, thereby presenting a curated subset of information that maintains completeness of essential information while eliminating unnecessary data that would complicate user analysis.
Solution Approach 2:
The system segments the heterogeneous data into structured categories and formats, organizing information by type, source, and relevance. This segmentation transforms the unmanageable mass of heterogeneous data into organized, accessible segments that users can easily navigate and identify required information within, resolving the contradiction between information completeness and ease of data identification.
3Reliability
If historical information is stored and analyzed, then better decision-making is possible, but it takes considerable time to present reports
Solution Approach 1:
The patent implements preliminary action by pre-processing, validating, and structuring historical data as it is collected, rather than performing these operations when reports are needed. The system continuously validates and organizes data in the background, so when report generation is required, the processed historical information is immediately available, significantly reducing report preparation time while maintaining high decision-making accuracy.
Solution Approach 2:
The system maintains continuous data processing and validation operations, ensuring that historical information is constantly being refined and organized. This continuous useful action means that the data is always in a report-ready state, eliminating the time-consuming batch processing that would otherwise be required when generating reports, thus resolving the contradiction between reliable decision-making and rapid report presentation.
4Measurement precision
If data validation and processing is performed thoroughly, then data accuracy is improved, but the process becomes more complex
Solution Approach 1:
The patent applies universality by designing a multi-functional validator component that performs multiple validation operations (format checking, consistency verification, completeness validation) within a single integrated system. This universal validator handles diverse data types and validation rules through a unified architecture, achieving thorough data accuracy improvement without proportionally increasing system complexity, as the same component handles multiple validation tasks simultaneously.
Data Source
AI summary
A computer implemented system and method for integrating and presenting heterogeneous information is envisaged. The system slices and dices information and enables the information to be depicted in the form of dashboards and reports by tying data points on different sources into an integrated solution, and also enables a user to select the information that he/she wants to view, thereby enabling real-time visibility, quick decision making and planning. The system allows easy interaction between teams to access and understand complex information quickly. The system of the present disclosure can integrate data spread across multiple domains, horizontals and verticals, and display the required result in a desired format. The system also has ability to restrict dashboards and reports to certain groups of users by means of profiling based on roles in the organization.