Continuity Plan Simulation Using Unified Data Models
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Solution Overview
Problem
Conventional systems are inadequate for efficiently generating and implementing continuity plans for future events, as they fail to identify and utilize relationships between asset systems, users, and applications, making it difficult to ensure operational continuity during incidents or disasters.
Innovation Solution
A system that uses existing data from authentication, asset management, and human resources systems to create combined solution data models, which are then used to generate and test continuity plans through simulation, ensuring readiness for potential events and swift recovery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional systems are used to generate continuity plans, then the system structure is simple, but the ability to identify relationships between asset systems, users, and applications is insufficient
Solution Approach 1:
The patent merges multiple data sources including authentication systems, asset management systems, human resources systems, and application systems into a unified continuity planning system. This integration allows the system to identify relationships between asset systems, users, and applications by combining data from these separate sources, thereby improving adaptability without requiring complete system redesign
Solution Approach 2:
The continuity planning system is designed to handle multiple types of relationships and data formats from various sources. It can process authentication data, asset management data, human resources data, and application data through a universal framework that identifies relationships across different system types, making the system versatile while maintaining a manageable structure
2Reliability
If comprehensive data from multiple systems is integrated to generate continuity plans, then the quality of continuity plans improves, but the complexity of data processing increases
Solution Approach 1:
The patent segments the data processing into distinct modules: an authentication system module, an asset management module, a human resources module, and an application module. Each module processes specific types of data independently before integrating results into the continuity planning process. This segmentation improves plan quality through comprehensive data analysis while reducing overall processing complexity by breaking down the task into manageable segments
Solution Approach 2:
The patent introduces intermediary components that facilitate data exchange between different systems and the continuity planning engine. These intermediaries standardize data formats and protocols, enabling comprehensive data integration from multiple sources without requiring complex direct connections between all systems, thereby improving reliability while managing processing complexity
3Reliability
If continuity plans are tested through simulation, then the readiness for potential events is ensured, but the time and resources required for testing increase
Solution Approach 1:
The patent implements preliminary simulation testing of continuity plans before actual incidents occur. The system creates virtual scenarios based on historical data and potential future events, allowing continuity plans to be tested and refined in advance. This preliminary action ensures readiness for potential events while the simulations can be scheduled and optimized to minimize disruption to normal operations
Solution Approach 2:
The patent creates simplified copies or models of the actual system state for simulation purposes. Instead of testing continuity plans against the full production system, the system uses replicated data models and virtual environments that mirror critical relationships and dependencies. This copying approach maintains testing reliability while significantly reducing the time and resources required compared to full-scale testing
Data Source
AI summary
Embodiments of the present invention provide a system for implementing a continuity plan generated using solution data modeling based on predicted future event simulation testing. The system is typically configured for generating one or more solution data models comprising a plurality of asset systems and a plurality of users, identifying a potential event associated with at least a first asset of the plurality of asset systems, extracting a first solution data model associated with the first asset from a model database, identifying one or more relationships associated with the first asset from the extracted first solution data model, formulating a continuity plan for the potential events based on the one or more relationships, and testing the continuity plan by creating a simulation of the potential events and implementing the continuity plan for the simulated potential event.