New Issue Management System Automating Data Validation
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Solution Overview
Problem
Manual tracking of issue data is error-prone and inefficient, leading to duplicative entries and inconsistent reporting, especially when dealing with structured and unstructured data from various sources, which are not easily usable by computing systems.
Innovation Solution
A new issue management system that processes input data using data models to generate and validate data entries, automatically populates dynamic forms, and transmits alerts to stakeholders, while utilizing blockchain technology and AI for data integrity and analytics, enabling remote access and automated data validation across different lines of business.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual tracking of issue data is used, then flexibility in data collection is maintained, but error rate increases and efficiency decreases
Solution Approach 1:
The system enables automated self-service data collection where the issue management system automatically retrieves, validates, and processes data from multiple sources without manual intervention, eliminating human error while maintaining operational flexibility
Solution Approach 2:
Manual mechanical data tracking processes are replaced with automated electronic data processing systems that use algorithms and machine learning to collect, validate, and manage issue data, significantly improving both efficiency and accuracy
2Quantity of substance
If data is collected from multiple sources in different formats, then data comprehensiveness improves, but data consistency deteriorates
Solution Approach 1:
The system dynamically adjusts data parameters and formats during the collection process, automatically transforming data from various sources into a standardized structure while preserving the completeness and integrity of the original information
Solution Approach 2:
An intermediary data normalization layer is introduced between data collection and processing, which standardizes data from multiple sources into a consistent format while maintaining the ability to retrieve original data characteristics when needed
3Speed
If automated data processing is implemented, then processing speed increases, but system complexity increases
Solution Approach 1:
The automated data processing system is segmented into modular functional components (data collection module, validation module, processing module, etc.), allowing high-speed processing while managing complexity through clear separation of concerns and independent deployment of each module
Data Source
AI summary
A new issue management (NIMS) platform configured to track and report on New Issue data and generate visual elements, alerts and reports for interface applications. The NIMS platform provides a data capture and normalization solution. The NIMS platform can streamline data capture and dissemination processes and procedures by reducing duplicative data entry and manual input. The NIMS platform can improve data consistency by establishing automated systems across various lines of business for an organization. The NIMS platform can implement data capture, remediation and migration of current and historical data.