Flexible Data Hierarchy for ERP Organizational Changes
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Solution Overview
Problem
Implementing organizational changes in ERP systems is time-consuming and complex due to the need to analyze and update numerous organizational units within databases, which often use different naming conventions for data, leading to increased complexity.
Innovation Solution
A computer-implemented method for providing a flexible data hierarchy that allows users to define and modify hierarchical structures by assigning sequence placements to attributes, enabling the automatic generation of hierarchical structures and reports, and allowing for user-defined and system-defined attributes to be organized and updated efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional database reorganization methods are used to implement organizational changes, then data accuracy and completeness are improved, but implementation time and system complexity increase significantly
Solution Approach 1:
The patent segments the hierarchical structure into multiple levels (e.g., country, region, city, department) that can be independently defined and configured. This allows organizational changes to be implemented by modifying individual segments rather than reorganizing the entire database, significantly reducing implementation time while maintaining data accuracy through structured segmentation.
Solution Approach 2:
The system performs preliminary actions by pre-defining hierarchical templates and data structures that can be reused across different organizational contexts. This allows rapid deployment of new organizational structures without starting from scratch, reducing implementation time while ensuring data completeness through pre-established frameworks.
2Stability of the object's composition
If comprehensive database updates are performed to reflect organizational changes, then data consistency across all units is improved, but computational resources and processing time are consumed
Solution Approach 1:
The patent applies local quality by allowing different hierarchical levels and units to have customized attributes and data structures tailored to their specific needs. This enables data consistency to be maintained at each local level independently, avoiding the need for comprehensive global database updates while ensuring consistency within each organizational unit through localized data management.
Solution Approach 2:
The system performs partial actions by updating only the specific hierarchical segments that require changes rather than performing comprehensive database updates. This selective approach maintains data consistency in affected areas while conserving computational resources by avoiding unnecessary processing of unchanged data.
3Stability of the object's composition
If fixed hierarchical structures are used in ERP systems, then system stability and predictability are improved, but flexibility and adaptability to organizational changes are reduced
Solution Approach 1:
The patent implements dynamics by creating a hierarchical structure that can be dynamically configured and modified at multiple levels. The system maintains stability through a structured framework while enabling flexibility through customizable attributes, dynamic level creation, and the ability to reconfigure hierarchical relationships without system reinstallation, thus adapting to organizational changes while preserving system stability.
Solution Approach 2:
The system applies universality by designing a hierarchical structure that can serve multiple organizational purposes and configurations. The same framework can accommodate different organizational models (functional, divisional, matrix), various hierarchical levels, and customized attributes, providing both stability through a universal framework and flexibility through multi-functional adaptability to different organizational needs.
4Measurement precision
If detailed attributes are collected for all organizational units, then reporting accuracy and detail are improved, but data collection complexity and storage requirements increase
Solution Approach 1:
The patent applies local quality by allowing each organizational unit and hierarchical level to have customized attributes relevant to its specific reporting needs. This enables detailed and accurate reporting at each local level without requiring comprehensive data collection across the entire organization, reducing data collection complexity while maintaining reporting accuracy through localized attribute definition.
Data Source
AI summary
In one general aspect, a method and system are described for providing a flexible data hierarchy. The method may include obtaining a plurality of data sets, the plurality of data sets including system-defined attributes and user-defined attributes, generating, for each attribute in each data set, a field for receiving input, providing, in a user interface display, at least one data set of the plurality of data sets and the generated field for each attribute in the at least one data set, receiving, in two or more of the generated fields, a value indicating a sequence placement for a respective attribute associated with a respective field of the two or more generated fields, and automatically generating, for the attributes associated with the two or more fields having a value, at least one hierarchical structure according to the sequence placement.