Selective Organizational Data Transfer in Divestiture
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Solution Overview
Problem
In the context of mergers and acquisitions, there is a need for a technology that can selectively transfer organizational data from one company to another, ensuring that only relevant data is migrated while maintaining business continuity and data security.
Innovation Solution
The proposed method and system for organizational data transfer involve selecting either a cleansing method or a migration method to separate and build a system based on requirements. This includes exporting the system architecture, creating a target database, extracting and sending intended data, and optionally deleting data from the source database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all organizational data is transferred during M&A, then business continuity is ensured, but data security and storage costs increase
Solution Approach 1:
The patent segments organizational data into multiple categories (master data, transaction data, configuration data) and further divides it by company code, business area, and plant levels. This segmentation enables selective transfer of only necessary data portions, ensuring business continuity for the acquired company while preventing unnecessary data exposure and reducing storage costs.
Solution Approach 2:
The system extracts and identifies specific data intended for migration using migration requirements, then separates this data from the source organization's complete dataset. By extracting only the necessary data portions and transferring them to the target organization, the system maintains business continuity while enhancing data security and reducing storage requirements.
2Object-affected harmful factors
If selective data extraction is implemented, then data security and storage costs are reduced, but migration complexity increases
Solution Approach 1:
The system performs preliminary actions by defining migration requirements before the actual data extraction process. Migration requirements specify which data should be transferred based on company code, business area, and plant levels. This preliminary configuration simplifies the subsequent extraction process by providing clear selection criteria, reducing migration complexity despite the selective nature of the operation.
Solution Approach 2:
The patent introduces an intermediary layer consisting of migration requirements and system architecture that mediates between the source and target organizations. This intermediary structure manages the complexity of selective data extraction by providing a standardized framework for identifying, extracting, and transferring data, thereby reducing overall migration process complexity.
3Adaptability or versatility
If complete system architecture is exported, then system compatibility is ensured, but transfer time and processing overhead increase
Solution Approach 1:
The system architecture is segmented into essential and non-essential components. Only the architecture elements necessary for supporting the migrated data are exported and transferred to the target system. This selective architecture export ensures compatibility for the transferred data while reducing transfer time and processing overhead by excluding unnecessary system components.
Solution Approach 2:
Instead of exporting the complete system architecture, the system performs partial action by exporting only the portion of architecture needed for the migrated data. This approach maintains sufficient system compatibility for the transferred data while significantly reducing transfer time and processing requirements compared to a complete architecture export.
Data Source
AI summary
A method and system for selective transfer of organizational data in case of a divestiture are disclosed. The method includes: exporting a system architecture for a first database of a first organization from a first database of the first organization including data intended for migration from the first organization to a second organization; creating a second database of the second organization, which is a target database to which the intended data is to be transferred, in a system of the second organization by importing the exported system architecture to the system of the second organization; extracting the intended data from the first database; and sending the extracted intended data to the second database of the second organization.