Probabilistic Product Code Assignment for Competitor Data
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Solution Overview
Problem
Current data analysis systems are inflexible, computationally complex, and error-prone, limiting their ability to adapt to changes in data, dimensions, and user queries, and fail to provide on-demand access and integration necessary for effective market analysis, leading to sub-optimal insights and inefficient data management.
Innovation Solution
An analytic platform that enables rapid and flexible data manipulation, aggregation, and projection, using a combination of hardware, software, and methodologies for real-time data processing, dynamic dimensionality, and personalized reporting, with features like probabilistic matching and flexible releasability controls, to support evolving market analysis needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional data aggregation methods with fixed aggregation points are used, then data structure is simplified, but adaptability to changes in data, dimensions, and user queries deteriorates
Solution Approach 1:
The patent implements dynamic aggregation points that can be modified at query-time rather than being fixed a priori. The system allows users to change aggregation points without requiring arduous restructuring and reprocessing of data, enabling the data structure to adapt dynamically to changing analytical needs while maintaining operational simplicity.
2Ease of operation
If a priori decisions are made for projection and aggregation, then query processing is simplified, but flexibility to change decisions deteriorates
Solution Approach 1:
The system enables dynamic modification of projection and aggregation decisions at query-time. Users can change their minds about how data should be projected and aggregated without having to restart the analytical process, as the system supports on-the-fly adjustments to these parameters while maintaining ease of operation.
Solution Approach 2:
The patent prepares the data infrastructure in advance to support multiple possible aggregation points and projection methods, so that when query-time decisions need to be changed, the system can quickly adapt without extensive reprocessing. This preliminary preparation enables both simplicity and flexibility.
3Reliability
If extensive manual setup is performed for releasability rules, then rule application accuracy is improved, but system brittleness and error-proneness worsens
Solution Approach 1:
The system implements dynamic releasability rules that can adapt to on-the-fly changes in data, dimensions, third parties, and other parameters. Rather than requiring extensive manual reconfiguration when changes occur, the system dynamically adjusts rule application to maintain both accuracy and adaptability.
4Device complexity
If rigid data cubes with fixed hierarchies are used, then data storage is simplified, but navigation and integration capability deteriorates
Solution Approach 1:
The patent implements dynamic data cubes with flexible hierarchies that can be navigated and reconfigured at query-time. The system allows users to navigate from global views to regional to neighborhood to store views dynamically, without being constrained by rigid pre-defined hierarchies, while maintaining efficient data storage through intelligent indexing and organization.
Data Source
AI summary
In embodiments of the present invention improved capabilities are described for identifying a classification scheme associated with product attributes of a grouping of products of an entity, receiving a record of data relating to an item of a competitor to the entity, the classification of which is uncertain, receiving a dictionary of attributes associated with products, and assigning a product code to the item, based on probabilistic matching among the attributes in the classification scheme, the attributes in the dictionary of attributes and at least one known attribute of the item.