Analysis Software Managing System for Component Proposal
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Solution Overview
Problem
Existing data analysis software systems rely heavily on analysis history, making it inefficient and costly to propose data analysis components at the time of system introduction or start of operation, as the effectiveness of proposed components is unknown until actual execution and confirmation by users.
Innovation Solution
An analysis software managing system that generates analysis relationship information linking analysis target data from multiple systems and specifies combinations of analysis components based on this information, enabling proposal of data analysis components irrespective of implementation history.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If analysis software systems rely on analysis history to propose data analysis components, then the reliability of proposed components is improved, but the productivity of system introduction and initial operation is deteriorated
Solution Approach 1:
The system performs preliminary actions by collecting data relationships from multiple predetermined systems before analysis is actually needed. The analysis relationship information is generated in advance, storing the structural relationships between data items across different systems. This preliminary collection and organization of relationship data enables the system to propose analysis components immediately upon startup without requiring historical analysis records, thus resolving the contradiction between reliability and initial productivity.
2Reliability
If analysis software systems wait for implementation history to accumulate before proposing data analysis components, then the reliability of proposals is improved, but the time required for initial operation is increased
Solution Approach 1:
The system performs preliminary actions by collecting data relationships from multiple predetermined systems before analysis is actually needed. The analysis relationship information is generated in advance, storing the structural relationships between data items across different systems. This preliminary collection and organization of relationship data enables the system to propose analysis components immediately upon startup without requiring historical analysis records, thus resolving the contradiction between reliability and initial productivity.
3Measurement precision
If analysis software systems use analysis history for component proposals, then the accuracy of proposals is improved, but the complexity of the system is increased
Solution Approach 1:
The system extracts only the essential relationship information between data items from multiple predetermined systems, storing this extracted structure in analysis relationship information. Instead of maintaining and processing complete historical analysis records, the system extracts and stores only the structural relationships between data items, which are sufficient for proposing analysis components. This extraction approach reduces system complexity while maintaining proposal accuracy.
Solution Approach 2:
The system performs preliminary actions by collecting data relationships from multiple predetermined systems before analysis is actually needed. The analysis relationship information is generated in advance, storing the structural relationships between data items across different systems. This preliminary collection and organization of relationship data enables the system to propose analysis components immediately upon startup without requiring historical analysis records, thus resolving the contradiction between reliability and initial productivity.
Data Source
AI summary
Proposal of data analysis components is enabled to be performed irrespective of the quantity of an implementation history of data analysis, and thus efficiency and cost reduction of production of software for data analysis are promoted. A data utilization platform server 101 is configured to includes a arithmetic device 112 which executes processing of generating analysis relationship information prescribing linkage between analysis target data and an analysis component executing analysis processing for the analysis target table on the basis of a relationship among a plurality pieces of the analysis target data collected from a plurality of predetermined systems; and processing of specifying a combination of a plurality of the analysis components available for predetermined data designated as an analysis target by a user on the basis of the analysis relationship information.


