Method for improving data quality in product data management system

Abstract

The invention discloses a method for improving data quality in a product data management system. The method comprises the steps of data analysis rule extraction, program code inspection explicit, change management and quality billboard. According to the method, the whole complete closed-loop problem solving mode is adopted; therefore, the image-text uploading condition can be tracked in real time;monitoring can be realized, and text self-checking rules can be expanded; document inspection dominance, an auxiliary designer can quickly locate problems, the text error correction process is traceable, the image-text error probability is displayed from different dimensions, an image-text problem serious disaster area is macroscopically displayed, the text quality is continuously improved, the changed data is accurately fed back, and the graph Chinese quality can be monitored. According to the method, human errors are reduced in the product data review, change and release processes through acomplete process.

Description

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AI Technical Summary

Benefits of technology

This technology helps solve issues with managing large amounts of digital content on websites or other sources faster by providing an efficient way for users to track their uploaded photos and documents over time without having them stop working altogether due to errors that may occur when they edit these files. Additionally, this system allows designers to see changes made while editing images, making it easier to find specific parts where there were any potential issues beforehand. Overall, this innovation improves efficiency and accuracy in website management systems.

Problems solved by technology

This patented technical problem addressed in this patents relates to improving the efficiency at managing large amounts of inventory data during various stages throughout their lifecycle such as design phase or testing phases. Current systems have limitations with regards to efficiently updating documentation about new designs after they've been released from one stage into another without affecting previous versions that were previously used earlier. Additionally, these conventional methods require manual intervention when changing specifications based upon past experience rather than objective measures like cost savings.

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