Selective Organization Data Separation in Mergers
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Solution Overview
Problem
In the context of mergers and acquisitions, there is a growing need for technologies that can accurately select, separate, and transfer large volumes of organization data while ensuring that non-selling organization data is not transferred, which existing methods fail to address effectively.
Innovation Solution
A method and system for selectively separating organization data involves generating a second database by copying a first database, selecting data based on a deletion condition mapped to a business object, extracting and saving the selected data, and generating a third database by deleting matched data from the second database, with options for secondary data extraction and lossless compression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If all organization data is copied to the second database, then data completeness is improved, but data security and accuracy for transfer are worsened due to inclusion of non-selling organization data
Solution Approach 1:
The patent segments organization data into multiple categories including selling organization data, non-selling organization data, and secondarily related data. This segmentation is achieved through mapping deletion conditions to business objects, allowing the system to identify and separate data that should be transferred from data that should remain with the first organization. The segmentation resolves the contradiction by enabling complete data copying while simultaneously identifying specific subsets for selective retention.
Solution Approach 2:
The patent extracts non-selling organization data from the copied database by applying deletion conditions mapped to business objects. The system identifies data belonging to non-selling organizations through condition mapping and extracts this data for selective retention in the first database. This extraction process ensures that only necessary selling organization data is transferred to the second database, resolving the contradiction between data completeness and transfer accuracy.
2Reliability
If data is selectively deleted from the second database, then data transfer accuracy is improved, but data loss risk increases without backup
Solution Approach 1:
The patent performs preliminary extraction and saving of data that will be deleted from the second database. Before the actual deletion occurs, the system identifies data matching deletion conditions, extracts this data, and saves it as a backup. This preliminary action ensures that if deletion errors occur or data needs to be restored, the information is preserved. This resolves the contradiction by enabling accurate selective deletion while maintaining backup copies to prevent data loss.
3Stability of the object's composition
If secondary related data is extracted and saved, then data consistency is improved, but processing time and complexity increase
Solution Approach 1:
The patent implements a feedback mechanism where the system reads previously saved data, identifies secondarily related data connected to the saved data, and extracts this related data for saving. This feedback loop ensures that data consistency is maintained by capturing not only directly selected data but also related data that depends on or connects to the primary data set. The feedback approach resolves the contradiction by systematically identifying related data through connections to saved data, ensuring completeness while providing a structured method to manage the additional processing requirements.
Data Source
AI summary
It is provided a method and system for selectively separating organization for generating a second database by copying a first database, selecting data by mapping a condition of a deletion subject to a business object of the second database, extracting the selected data from the second database and saving it as a file, and generating a third database to be transferred by deleting data matched with the read data from a table in the second database.