Data Analysis System for Investigative Process Optimization
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Solution Overview
Problem
Conventional computerized systems used for investigative processes face challenges in gathering and analyzing data from disparate sources due to varied data types and formats, leading to inefficiencies and the repetition of investigative efforts, as they fail to leverage knowledge from previous investigations.
Innovation Solution
A data analysis system that ingests data from multiple sources, transforms it into a unified structure, allows keyword searches, enables users to link related data objects, and tracks user activity, facilitating the identification of relevant data connections and leveraging previous investigation insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is gathered from multiple disparate computer systems with different data types and formats, then the completeness and breadth of investigative data is improved, but the complexity of data gathering and analysis increases
Solution Approach 1:
The patent introduces an intermediary component that acts as a mediator between disparate data sources and the analysis system. This intermediary standardizes and normalizes data from multiple sources with different formats and types, converting them into a unified structure that can be efficiently processed. The intermediary layer handles the complexity of data integration, allowing the core analysis system to work with standardized data without directly managing the heterogeneity of source systems.
Solution Approach 2:
The system segments the data gathering and analysis process into distinct modular components: data collection modules that interface with specific sources, a normalization layer that handles format conversion, and analysis modules that process standardized data. This segmentation allows each component to specialize in specific tasks, reducing overall system complexity while maintaining comprehensive data coverage from multiple disparate sources.
2Reliability
If the entire investigation process is repeated for each new investigation, then all relevant data is thoroughly analyzed, but computational and workflow inefficiencies increase and resources are wasted
Solution Approach 1:
The system performs preliminary actions by maintaining a repository of findings and conclusions from previous investigations. Before conducting a new investigation, the system can retrieve and apply relevant pre-analyzed data and insights from similar past cases. This preliminary action allows investigators to leverage existing knowledge, avoiding redundant analysis of identical or similar data patterns while maintaining thoroughness in identifying unique aspects of each investigation.
Solution Approach 2:
The system implements feedback mechanisms that capture outcomes and insights from completed investigations and feed them back into the knowledge repository. This feedback loop enables the system to learn from previous investigations, automatically identifying patterns and relationships that can be applied to future cases. The feedback mechanism ensures that computational efforts and investigative insights are not lost but rather accumulated and reused, improving both reliability and productivity over time.
3Ease of manufacture
If conventional computerized systems are used for investigations, then basic data processing can be performed, but the ability to leverage knowledge from previous investigations is lost
Solution Approach 1:
The patent merges conventional data processing capabilities with a knowledge management system that captures and stores investigative insights. The system combines basic data processing functions with advanced features for storing, retrieving, and applying lessons learned from previous investigations. This merging ensures that while maintaining ease of data processing, the system prevents loss of investigative knowledge by integrating it into the core operational framework, allowing automatic retrieval and application of relevant past insights.
Data Source
AI summary
Disclosed are data gathering and analysis systems, methods, and computer-readable storage media to facilitate an investigation process. The method includes accessing a data object representing an investigative issue as part of initiating an investigative session. The method further includes causing presentation, on a display of a device, of a user interface configured to receive user search queries and present search results for each received search query. The method further includes tracking user activity including one or more user actions performed during the investigative session. The method further includes creating a record of the user activity, and linking the record of the user activity with the data object representing the investigative issue.