Automated Keyword URL Data Validation System
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Solution Overview
Problem
The existing systems for managing keyword/URL data in search engine ranking reports are inefficient, requiring manual input and validation of thousands of keyword/URL pairs, which is time-consuming and burdensome for users and system account managers.
Innovation Solution
A system and method that allows users to input and manage keyword/URL data in a spreadsheet format, enabling modification and validation for error checking, reducing the need for manual intervention by system account managers through automated processing and validation of keyword/URL data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual input and validation of keyword/URL data is performed, then data accuracy can be ensured, but time consumption and operational burden increase significantly
Solution Approach 1:
The system enables self-service through automated validation where the validation processor automatically checks keyword/URL data for errors without requiring manual intervention. The system validates data format, checks for duplicates, and identifies invalid entries automatically, allowing users to upload data without manual verification while maintaining high accuracy standards.
Solution Approach 2:
The system performs preliminary validation actions before data processing by the ranking processor. The validation processor pre-checks the uploaded keyword/URL data for formatting errors, duplicates, and validity issues, correcting or flagging problems before they affect the main ranking operations, thus ensuring accuracy while reducing time loss during actual processing.
2Reliability
If manual validation by system account managers is performed, then data quality can be maintained, but operational complexity and resource requirements increase
Solution Approach 1:
The system segments the validation function into a separate validation processor component that operates independently from the main ranking processor. This segmentation allows automated validation rules to be applied systematically without requiring complex manual procedures, maintaining data quality while simplifying operational workflows by dividing responsibilities into clear automated modules.
Solution Approach 2:
The system replaces the mechanical manual validation process with an automated electronic validation processor that applies predefined validation rules and algorithms. This substitution eliminates the need for manual account manager intervention in routine validation tasks, maintaining data quality through consistent automated checking while significantly reducing operational complexity and resource requirements.
3Productivity
If automated processing is implemented, then productivity increases, but validation accuracy may be compromised
Solution Approach 1:
The validation processor implements feedback mechanisms that automatically review and correct validation results. When the automated processor identifies potential issues, the system provides feedback loops that allow for secondary validation checks and corrections, ensuring that automated processing maintains high validation accuracy while preserving processing efficiency through systematic self-correction rather than manual intervention.
Data Source
AI summary
Disclosed in a system and method for facilitating the management of keyword/Uniform Resource Locator (URL) data. A first processor receives from a second processor, a request to transmit keyword/URL data. The first processor transmits to the second processor, the keyword/URL data. The first processor receives from the second processor, modified keyword/URL data. The first processor validates the modified keyword/URL data to determine if the modified keyword/URL data includes errors. The modified keyword/URL data can be used to perform keyword ranking using a search engine.