Enterprise Content Migration Framework for Unstructured Data
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Solution Overview
Problem
The migration of unstructured data in enterprise content management systems is challenging due to the lack of effective support for managing unstructured data during corporate changes such as mergers or acquisitions, leading to inefficiencies and compliance issues with international regulations.
Innovation Solution
A computer-implemented method using a migration engine server and a content management integration layer to generate content searches, calculate metadata change instructions, and modify metadata for unstructured data, ensuring efficient and cost-effective migration of both structured and unstructured data while adhering to regulatory compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If migration of unstructured data is performed manually or without dedicated support, then data integrity can be maintained through careful handling, but migration efficiency and productivity are severely reduced
Solution Approach 1:
The patent introduces an intermediary layer between the ERP system and unstructured data repositories that automatically manages migration processes. This intermediary component handles the complexity of coordinating migrations across multiple systems while maintaining data integrity, thereby improving productivity without requiring direct complex manual intervention.
Solution Approach 2:
The migration system is designed to be self-service oriented, automatically identifying unstructured data, determining migration targets, and executing migrations without requiring manual intervention for each data item. This automation dramatically improves migration efficiency while the system manages its own complexity internally.
2Reliability
If comprehensive migration rules are applied to all unstructured data, then data compliance with international regulations is ensured, but processing time and computational resources increase
Solution Approach 1:
The patent segments the unstructured data migration process into distinct phases: identification, classification, target determination, and migration execution. Each phase applies specific rules appropriate to that stage, ensuring compliance without requiring all rules to be applied to all data simultaneously, thereby reducing overall processing time while maintaining reliability.
Solution Approach 2:
The system applies migration rules selectively based on data characteristics and compliance requirements. Not all unstructured data requires the same level of rule application - the system identifies which data items need which rules, applying only the necessary level of scrutiny and processing to each item, thus reducing total processing time while ensuring required compliance.
3Stability of the object's composition
If the entire corporate data set is migrated at once, then data consistency across the organization is maintained, but the complexity of managing the migration process increases significantly
Solution Approach 1:
The patent divides the corporate data set into manageable segments based on organizational units, data types, or migration priorities. Each segment can be migrated independently with its own target repository, reducing the complexity of managing the overall migration while maintaining data consistency through coordinated segmentation across the organization.
Solution Approach 2:
Different segments of the data set can have different migration targets and rules applied locally based on their specific requirements. This allows the system to maintain data consistency where needed while applying different migration strategies to different data segments, reducing overall management complexity by allowing localized optimization.
Data Source
AI summary
The present disclosure involves computer-implemented methods, software, and systems for supporting migration of unstructured data stored in enterprise content management systems. A computer-implemented method includes generating a search for content matching at least one content search rule, receiving a list of matched documents, wherein each document in the list of matched documents is associated with at least a source repository identifier and a unique document identifier, calculating a target repository identifier and at least one metadata change instruction for each unique document identifier using at least one migration rule, and modifying metadata for the document associated with each unique document identifier using the calculated at least one metadata change instruction.