Anomaly Detection System for Early Project Issue Identification
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Solution Overview
Problem
In large complex projects and corporate management, issues often go unreported at lower levels and only surface as serious problems to upper management, often threatening project viability, due to human nature and political interference, making early identification challenging.
Innovation Solution
A system that analyzes electronic documents for anomalies, using context vectors to categorize and graphically display relevant information, with visual and auditory alarms for potentially significant concerns, allowing managers to track developing problems through a graphical display of 'dots' that fade or change color over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If employees are trained to report problems, then problem reporting should improve, but employee intuition and natural behavior work against this making training ineffective
Solution Approach 1:
The system automatically monitors and analyzes electronic documents without requiring employee action. The anomaly detection system serves itself by autonomously identifying and reporting problems, eliminating the need for employees to manually report issues while aligning with their natural behavior of focusing on their primary tasks.
Solution Approach 2:
The patent replaces the mechanical system of manual problem reporting with an automated electronic document analysis system. Instead of relying on human employees to identify and report anomalies, the system uses computer algorithms to scan electronic documents, detect anomalies, and generate reports automatically.
2Measurement precision
If manual problem monitoring is used, then detailed analysis is possible, but problems only become visible to upper management when they become serious
Solution Approach 1:
The system performs preliminary analysis of electronic documents continuously, identifying anomalies before they develop into serious problems. By monitoring documents as they are created and analyzing them in real-time, the system detects issues at an early stage when they are still manageable, preventing time loss associated with delayed detection.
Solution Approach 2:
The anomaly detection system operates continuously, constantly scanning and analyzing electronic documents without interruption. This continuous monitoring ensures that problems are detected as soon as they appear in the document stream, eliminating gaps in detection and ensuring timely identification of issues before they escalate.
3Reliability
If comprehensive document analysis is performed, then early anomaly detection is achieved, but the volume of data to be analyzed is vast
Solution Approach 1:
The system extracts only the relevant information from vast quantities of electronic documents by focusing on specific anomaly indicators. Instead of analyzing every detail of each document, the system identifies and extracts key elements that indicate potential problems, such as unusual patterns, conflicting information, or deviations from expected norms, thereby simplifying the analysis process.
Solution Approach 2:
The patent applies different analysis methods to different types of documents and different sections within documents based on their specific characteristics. Rather than using a uniform analysis approach across all data, the system adapts its analysis strategy to the local context of each document type and content area, improving detection accuracy while managing processing complexity.
Data Source
AI summary
The present invention is directed to a system and method which allows managers to identify anomalies in organizations, brands or projects at an early stage. Advantage is taken of the fact that a large percentage of the elements of all organizational (project) problems are promptly captured in some form on an electronic notation. Portions of these notations are abstracted into categories. Each categorized abstract is displayed in an appropriate partition for review by one or more managers. As a category becomes populated with more and more abstracts, the visual color of the representations of the abstracts of that category can change to reflect their individual ages or other attributes of that category's abstracts. For example, the color of each abstract-representing graphical “dot” can fade over time. A group of new “dots” within a category, or blinking dots representing content that is particularly well matched to the category definition can graphically signify extra concern. In one embodiment, the manager can then “click” on one or more particular “dots” within a category in order to read the particular abstracted notation or the original data item itself. If desired, chains of abstracted notations can be followed in an attempt to discern the particulars of a possible developing problem. In one embodiment, a manager can select which categories are to be displayed in different “territories” on the manager's display.