Demand Signal Management System for Data Harmonization
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Solution Overview
Problem
Manufacturers face challenges in utilizing data from multiple disparate sources due to format and attribute differences, making it difficult to optimize operations and manufacturing processes.
Innovation Solution
A demand signal management system coordinates data harmonization among entities by sending global records with attributes, receiving updated or new records, and managing rejection messages to ensure data consistency across systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is collected from multiple disparate sources, then the quantity and variety of data increases, but the data format consistency and usability deteriorate
Solution Approach 1:
The patent introduces a demand signal management system as an intermediary between multiple data sources and the manufacturer's internal systems. This system receives data in various formats from external sources, harmonizes it according to predefined schemas, and outputs standardized data. The intermediary handles format conversion, validation, and normalization, allowing the system to collect diverse data while maintaining consistency.
Solution Approach 2:
The system applies parameter changes by transforming data attributes from source-specific formats to standardized formats. It modifies data parameters such as field names, data types, and structure according to a target schema, enabling heterogeneous data to be converted into a unified format suitable for internal processing and analysis.
2Measurement precision
If manual data harmonization processes are used, then data accuracy improves, but processing time and operational complexity increase
Solution Approach 1:
The system performs preliminary actions by establishing data harmonization schemas and validation rules in advance. It pre-configures the target data structure, field mappings, and validation criteria before data ingestion. This preparation enables automated processing that maintains accuracy while reducing processing time, as the harmonization logic is predetermined and executed systematically.
Solution Approach 2:
The system implements feedback mechanisms through validation rules that check harmonized data against predefined criteria. It provides feedback on data quality, identifies discrepancies, and enables corrective actions. This automated feedback loop ensures data accuracy without requiring manual verification of each data point, significantly reducing processing time while maintaining precision.
3Reliability
If comprehensive data validation is performed, then data quality improves, but system complexity and processing overhead increase
Solution Approach 1:
The system segments the validation process into distinct, modular components. It divides comprehensive validation into separate stages such as format validation, schema validation, business rule validation, and quality checks. Each validation component is independent and can be configured separately, reducing overall system complexity while maintaining comprehensive validation coverage through the combination of modular validators.
Data Source
AI summary
In an example embodiment, a demand signal management system is configured to coordinate data harmonization among a plurality of entities. The demand signal management system may obtain unharmonized data through third party entities. Global records based on internal master records and taxonomy information may be distributed to the entities. In some embodiments certain entities may have authority to create new global records. In other embodiments, some entities may have authority to approve proposed new global records. In still other embodiments, some entities may not have authority to create new global records. Unharmonzied data sent to the entities for harmonization in accordance with the global records. The entities may accept or reject the harmonization request. If accepted, the entity may return an updated global record, a proposed new global record, and/or a new global record depending on the unharmonized data, the global records and the entities' authority.