Data asset lifecycle governance methods and systems for enterprise digitalization

CN122132392APending Publication Date: 2026-06-02HAIKAI WISDOM (BEIJING) TECHNOLOGY SERVICES CO LTD

Patent Information

Authority / Receiving Office: CN · China
Patent Type: Applications(China)
Current Assignee / Owner: HAIKAI WISDOM (BEIJING) TECHNOLOGY SERVICES CO LTD
Filing Date: 2026-04-28
Publication Date: 2026-06-02

AI Technical Summary

Technical Problem

In the full lifecycle governance of enterprise data assets, existing technologies cannot effectively inherit the original governance status after data is split, resulting in inconsistent governance strategies and blind spots in rule coverage. Furthermore, the lack of consideration for the historical evolution of governance rules leads to inaccurate compliance judgments.

Method used

A governance judgment and constraint model is constructed. By continuously governing and mapping the target enterprise's digital asset data, the boundaries of the governance judgment and constraint model are dynamically adjusted to generate a governance applicability level. Optimization suggestions are proposed when governance rules are updated to ensure the continuous compliance and controllability of data throughout its entire lifecycle.

Benefits of technology

It achieves continuous compliance and controllability of data assets throughout their entire lifecycle, supports data trustworthiness and value release in enterprise digital transformation, and ensures compliance and rule applicability of data assets in the process of evolution and derivation by dynamically adjusting the governance judgment model.

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Abstract

This invention discloses a method and system for the full lifecycle governance of data assets for enterprise digitalization, belonging to the field of data management technology. It includes performing governance judgment processing on the target enterprise's digital asset data, constructing a governance judgment constraint model, and generating governance judgment results for the target enterprise's digital asset data; continuously monitoring the compliance status of the target enterprise's digital asset data within the established governance judgment constraint model to obtain a rule matching metric value for the derived data of the target enterprise's digital assets; dynamically adjusting the boundary range of the governance judgment constraint model based on the rule matching metric value of the derived data of the target enterprise's digital assets, generating a governance applicability level corresponding to the derived data of the target enterprise's digital assets, adjusting the execution intensity of governance actions based on the governance applicability level of the derived data, and providing optimization suggestions for governance rules, thereby achieving full-process management of data from generation, derivation, rule evolution to re-governance.

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