Software Bot Validation for Multi-Source Data Consistency
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Solution Overview
Problem
As data sources increase, maintaining internal data consistency and ensuring data quality becomes increasingly difficult, leading to operational errors and liability issues due to poor-quality data, which is a concern in data warehousing, business intelligence, and supply chain management.
Innovation Solution
A method and system utilizing a validation engine with software bots for automatic data retrieval and validation, generating an audit file, validating data objects against compliance policies, and reflecting results through a user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the number of data sources increases to provide more comprehensive data, then data completeness is improved, but internal data consistency becomes more difficult to maintain
Solution Approach 1:
The system implements automated feedback loops where validation results from compliance policies are continuously fed back to identify and correct data inconsistencies. The validation engine monitors data from multiple sources and provides real-time feedback on compliance status, enabling continuous improvement of data consistency while maintaining completeness from multiple sources.
Solution Approach 2:
The patent introduces a validation engine as an intermediary layer between multiple data sources and the data warehouse. This intermediary automatically validates data against compliance policies before integration, mediating the interaction between diverse data sources and ensuring consistency without requiring manual intervention or reducing data source diversity.
2Measurement precision
If manual data validation methods are used to ensure data quality, then validation accuracy can be maintained, but processing speed and productivity decrease
Solution Approach 1:
The validation engine operates autonomously without requiring manual intervention. It automatically retrieves data from multiple sources, applies compliance policies, and generates validation reports. The system serves itself by continuously monitoring and validating data, maintaining high accuracy while achieving rapid processing speeds through automation rather than manual methods.
Solution Approach 2:
The patent replaces manual mechanical validation processes with an automated electronic validation engine. Instead of human operators manually checking data compliance, the system uses software-based validation mechanisms that process data at machine speed while maintaining rigorous compliance checking, thereby substituting manual labor with automated computational processes.
3Reliability
If comprehensive compliance validation is performed on all data objects, then data quality and reliability are improved, but system complexity and resource consumption increase
Solution Approach 1:
The validation system segments compliance validation into modular compliance policies that can be independently configured and executed. Each policy targets specific data attributes or compliance requirements, allowing the system to validate data in discrete, manageable units. This segmentation reduces overall system complexity by breaking down comprehensive validation into smaller, reusable validation components.
Solution Approach 2:
The validation engine is designed as a universal system that can apply multiple compliance policies across different data sources and types. Rather than requiring separate validation systems for each data source, the multi-functional engine handles diverse validation requirements through a single unified platform, reducing system complexity while maintaining comprehensive validation coverage.
Data Source
AI summary
A method, apparatus, system, and computer program code for automatic data retrieval and validation. A computer system generates an audit file including a set of data objects. The computer system validates the data objects with a compliance policy by deploying a set of software bots to interact at a user level with a set of application programs. In response to validating the data objects, the computer system reflects validation results into a user interface.