Automated Data Audit System for Enterprise Network Consistency
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Solution Overview
Problem
As data operations across an enterprise network become increasingly complex, existing data auditing operations struggle to manage and track changes effectively, leading to inconsistencies and inefficiencies due to differing variable names and parameters across systems.
Innovation Solution
An audit system utilizing machine learning algorithms to identify and correct variable names and parameters by highlighting discrepancies and recommending updates, ensuring consistent naming conventions and reducing errors in data processing operations across the network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data operations and databases become more complex to handle increased interdependence, then data processing capability and coverage are improved, but data auditing operations become increasingly difficult to manage and track
Solution Approach 1:
The patent introduces an audit system as an intermediary component that mediates between complex data operations and auditing requirements. The audit system receives audit commands, identifies affected data operations, and coordinates auditing activities across multiple computing devices, thereby managing the complexity of auditing operations in complex data processing environments.
Solution Approach 2:
The patent implements feedback mechanisms where the audit system sends notifications to computing devices about identified data operations that require auditing. This feedback loop enables continuous monitoring and tracking of data operations, allowing the system to adapt to changing data processing complexities while maintaining effective audit oversight.
2Adaptability or versatility
If data operations across an enterprise network become increasingly interdependent, then operational integration is improved, but consistency and tracking of data operations become more difficult to maintain
Solution Approach 1:
The audit system establishes feedback loops by sending notifications to computing devices about identified data operations. This enables continuous monitoring of data flow across interdependent operations, allowing the system to detect and maintain consistency across the enterprise network despite increasing operational integration.
Solution Approach 2:
The patent replaces manual auditing mechanisms with an automated audit system that uses electronic notifications and automated identification of data operations. This substitution enables reliable tracking and consistency maintenance across complex interdependent operations without the errors and inefficiencies of manual processes.
3Ease of operation
If manual auditing methods are used to track data operations, then implementation simplicity is maintained, but auditing efficiency and coverage are insufficient for complex data processing operations
Solution Approach 1:
The audit system operates autonomously by automatically identifying data operations that correspond to audit commands and sending notifications to relevant computing devices. This self-service capability eliminates the need for manual auditing while maintaining ease of implementation through standardized protocols, thereby significantly improving auditing efficiency and coverage.
Solution Approach 2:
The patent replaces manual auditing methods with an automated electronic system that processes audit commands, identifies relevant data operations, and distributes notifications automatically. This substitution maintains operational simplicity through standardized interfaces while dramatically improving auditing productivity and coverage for complex data processing operations.
Data Source
AI summary
The present disclosure is related to a system that may include a first computing device that may perform a plurality of data processing operations and a second computing device that may receive a modification to one or more components of a first data operation, identify a first subset of the plurality of data processing operations that corresponds to the one or more components, and determine one or more alternate parameters associated with the one or more components. The second computing device may then identify a second subset of the plurality of data processing operations that corresponds to the one or more alternate parameters and send a notification to the first computing device indicative of a modification to the first subset and the second subset.

