Automated Social Discovery System for Enterprise Data Aggregation
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Solution Overview
Problem
The lack of a systematic approach to data collection and analysis in businesses limits the ability to gain enterprise-wide insights, as existing methods are disconnected and lack organized means of comparing performance, resulting in valuable data being neglected due to its disparate nature.
Innovation Solution
A system and method that identifies, collects, filters, and transforms data into a selected framework, using a mapping engine to transform data into a MAIN SCHEMA, allowing for hierarchical presentation and aggregation, with tools like recommendation and prediction engines to provide actionable insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If external consultants conduct interviews and reviews to measure organizational effectiveness, then expert insight and recommendations are generated, but the process is expensive and the learning benefit is controlled by the outside consultant
Solution Approach 1:
The patent introduces an automated intermediary system that acts as a mediator between organizational data sources and analytical frameworks. This automated intermediary collects, processes, and analyzes organizational data using predefined frameworks, eliminating the need for expensive external consultants while making the organizational insights accessible and controllable by the organization itself.
Solution Approach 2:
The patent replaces the mechanical system of manual consultant interviews and reviews with an automated computational system. The automated system uses software-based data collection, processing, and analysis mechanisms to substitute for human consultant activities, reducing costs while maintaining or improving the quality of organizational insights.
2Reliability
If internal review processes are established to investigate optimization options, then performance evaluation is conducted, but the methods are broad and disparate without organized means of comparing performance
Solution Approach 1:
The patent creates a universal framework that can evaluate multiple organizational performance dimensions through a single integrated system. The framework is designed to be multi-functional, handling strategic, operational, and tactical performance measurements across different departments and timeframes, providing organized comparison capabilities that disparate internal review processes lack.
Solution Approach 2:
The patent transforms performance measurement by changing the parameters from disparate, unconnected metrics to standardized, framework-based parameters. The system converts various internal review data into consistent parameter formats that can be systematically compared and analyzed, enabling reliable performance evaluation across different organizational units.
3Loss of information
If data is collected through multiple separate methods targeting separated issues, then specific insights are obtained, but the data cannot be universalized and generated insights are difficult to obtain
Solution Approach 1:
The patent merges multiple separate data collection methods and sources into a single integrated framework. The system combines data from strategic planning, operational reviews, market analysis, and other separate initiatives into a unified data structure that can be universally analyzed, enabling the generation of comprehensive strategic insights that were previously difficult to obtain from disconnected data sources.
Data Source
AI summary
A system, process and method for automatically collecting, collating and transforming data into useful formats and displaying or otherwise outputting the transformed data into useable information. The system provides outputs that are useful in optimizing the enterprise performance of a business. The system, process and method are grounded in an established logical framework for systematically classifying areas of business concerns.