Address Cleansing Minimum Assignment Level Threshold
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Solution Overview
Problem
Current data cleansing systems waste resources and incur unnecessary costs due to unintended cleanses of incomplete or deficient data, as they lack a mechanism to differentiate between data that merits cleansing and data that does not.
Innovation Solution
An address cleansing system that employs a minimum assignment level to determine whether to cleanse a received address, using cloud-based processing and geographic reference data to validate and correct addresses only when the assignment level meets or exceeds the set threshold, thereby avoiding unnecessary cleansing and associated costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system cleanses all received data without filtering, then data verification completeness is improved, but system resource waste increases
Solution Approach 1:
The system performs a preliminary assessment of data completeness before initiating the full cleansing process. By evaluating whether received data meets minimum completeness thresholds, the system prevents wasteful resource allocation to obviously deficient data while ensuring that potentially valid data receives appropriate verification attention.
2Reliability
If the system cleanses all received data without filtering, then data verification completeness is improved, but monetary cost increases
Solution Approach 1:
The system performs a preliminary assessment of data completeness before initiating the full cleansing process. By evaluating whether received data meets minimum completeness thresholds, the system prevents wasteful resource allocation to obviously deficient data while ensuring that potentially valid data receives appropriate verification attention.
3Measurement precision
If the system performs detailed validation on all data, then data accuracy is improved, but processing time increases
Solution Approach 1:
The system applies different levels of validation intensity to different data based on their completeness characteristics. Data that meets minimum thresholds receives full detailed validation to ensure accuracy, while obviously deficient data receives minimal or no validation, thereby optimizing processing time without sacrificing the accuracy of valid data.
Data Source
AI summary
Disclosed herein are system, method, and computer program product embodiments for assignment level address cleansing based on a minimum assignment level. An embodiment operates by receiving an address from a client device at an address cleansing system. The address cleansing system then parses the address into a plurality entry fields represent different geographic region fields. The address cleansing system then compares the entry fields to reference address data to determine an assignment level of the address. The assignment level indicates the level of address validation achieved based on the comparison to the reference address data. The assignment level is then compared to a minimum assignment level. If the assignment level is equal to or greater than the minimum assignment level, the address is cleansed using the reference address data. If not, the address is not cleansed.