Data asset management method and electronic device

By acquiring data products associated with the target business scenario, the business scenario is deconstructed into business actions, indicators, and paths, and attribution analysis is conducted. This solves the problem of data asset assessment relying on initial measurement and enables accurate quantification and optimized allocation of data assets.

CN122114290APending Publication Date: 2026-05-29AVATR CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
AVATR CO LTD
Filing Date
2026-04-21
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

In existing technologies, data asset valuation relies on initial measurement before data is entered into the financial statements, making it difficult for enterprises to accurately measure the actual contribution of data assets to business growth and affecting the optimal allocation of data assets.

Method used

By acquiring data products associated with the target business scenario, the business scenario is deconstructed into business actions, business indicators, and value paths. Attribution analysis is then conducted to determine the value contribution rate of the data products, and resource allocation is adjusted based on the contribution rate.

Benefits of technology

It enables dynamic and accurate quantification of the actual business value of data products, provides a scientific and objective basis for value assessment, improves the input-output ratio of data assets, and promotes refined management.

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Abstract

The application relates to the technical field of data processing, and discloses a data asset management method and electronic equipment.The data asset management method comprises the following steps: acquiring one or more data products associated with a target business scenario; acquiring a business event related to each data product and financial data associated with the business event; performing attribution analysis on the business event and the financial data to determine a value contribution rate of each data product in the target business scenario; and adjusting resource allocation of the data product according to the value contribution rate.The application can improve the reliability of data asset management.
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