Semantic Tagging for Standardized Data Reporting
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Solution Overview
Problem
Organizations face difficulties in generating standardized reports across different structures and terminologies, leading to the need for custom report templates and key performance indicators, as existing systems struggle to effectively query and categorize data using semantic tags.
Innovation Solution
The implementation of semantic tags associated with nodes in a data network, allowing for the execution of queries and generation of reports by mapping relevant data collection nodes to report nodes based on these tags, facilitating standardized reporting across diverse organizational structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If custom report templates and key performance indicators are created for each organizational structure, then reporting accuracy for specific organizations is improved, but system complexity and implementation time increase
Solution Approach 1:
The patent applies universality by creating a standardized report template system that can serve multiple organizational structures and terminologies simultaneously. Instead of building custom templates for each organization, a single flexible template framework is designed that adapts to different data structures through configurable mappings and parameters, allowing one system to fulfill multiple reporting needs across diverse organizational contexts
Solution Approach 2:
The patent utilizes parameter changes by enabling dynamic configuration of report templates through adjustable parameters such as data source mappings, calculation methods, and organizational structure definitions. This allows the same template to produce accurate reports for different organizations by changing its parameters rather than creating entirely separate templates, thereby maintaining reporting accuracy while reducing system complexity
2Adaptability or versatility
If organizational-specific report templates are developed, then reporting relevance to organizational needs is improved, but development time and resources increase
Solution Approach 1:
The patent applies preliminary action by pre-configuring a library of standardized report templates that are designed in advance to accommodate various organizational structures and reporting requirements. These templates are prepared with common data mappings, calculation logic, and formatting rules already established, so when an organization needs a report, they can select and customize from pre-built options rather than developing templates from scratch, significantly reducing development time while maintaining relevance
Solution Approach 2:
The standardized templates are designed with universal applicability across different organizational types and structures. Each template is built to handle multiple scenarios and data configurations, allowing a single template to serve multiple organizational needs through parameter adjustment rather than requiring separate templates for each organization, thus reducing both development time and resource requirements
3Measurement precision
If data is organized according to specific organizational structures, then data accuracy for that organization is improved, but query efficiency across multiple organizations decreases
Solution Approach 1:
The patent applies segmentation by separating the organizational structure definitions from the core data and query processing logic. The system divides the reporting functionality into modular components where organizational structures are represented as configurable parameters rather than hard-coded data organization rules. This allows data to be queried efficiently using standardized methods while organizational accuracy is maintained through parameter-based adaptations in the reporting layer
4Loss of time
If standardized report templates are used across different organizations, then implementation time is reduced, but adaptability to specific organizational terminologies decreases
Solution Approach 1:
The patent utilizes parameter changes by incorporating configurable terminology mappings and organizational structure parameters within the standardized templates. These parameters can be adjusted to match specific organizational terminologies and structures without changing the underlying template framework. This allows rapid implementation using standardized templates while maintaining full adaptability to organizational-specific requirements through parameter customization
Data Source
AI summary
Technologies are described for facilitating query execution. A data network is received. The data network includes a plurality of nodes. Each of the nodes is associated with a portion of stored data. User input is received defining at least one semantic tag. User input is received associating the at least one semantic tag with at least one of the plurality of nodes. The association between the at least one sematic tag and the at least one of the plurality of nodes is stored.