Structured Data Management via Generic Function Templates
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Solution Overview
Problem
Conventional methods for producing, processing, and administering structured data sets, such as contracts in banking, face challenges in managing diverse customer agreements, leading to increased data maintenance costs, complexity, and susceptibility to errors, along with prolonged product development due to compliance and IT environment complexities.
Innovation Solution
A computer-implemented system that uses a basic function configurator to define and manage generic basic functions, which are combined into product templates, allowing for flexible and efficient storage and programming of various products, with standardized interfaces and distribution rules for improved checkability and reduced error susceptibility, enabling faster product development and operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional methods are used to produce and administer structured data sets, then data can be stored and processed, but data maintenance costs rise substantially and error susceptibility increases
Solution Approach 1:
The patent segments structured data into standardized data sets with defined schemas, separating data structure from content. This segmentation allows for systematic validation rules to be applied to each data set, reducing errors while lowering maintenance costs through automated processing.
Solution Approach 2:
The patent changes the parameter of data organization from unstructured or semi-structured formats to standardized structured data sets with explicit schemas. This parameter change enables automated validation and processing, simultaneously improving reliability and reducing complexity.
2Ease of operation
If individual agreements are stored in comprehensible form, then data understandability improves, but storage space and processing time increase
Solution Approach 1:
The patent creates standardized templates and schemas that can be copied and reused for multiple data sets. Once a data structure is validated and understood, it can be replicated across numerous agreements without requiring re-processing, thus maintaining understandability while reducing processing time.
Solution Approach 2:
The patent performs preliminary structuring and validation of data sets according to predefined schemas before actual processing. This preliminary action ensures data is ready for rapid processing later, balancing understandability with efficiency.
3Reliability
If new products are developed with comprehensive compliance checks, then product quality improves, but development time increases
Solution Approach 1:
The patent segments the product development process into modular steps with standardized data sets at each stage. Compliance checks are applied to individual data sets rather than entire products, enabling parallel processing and faster development while maintaining quality through systematic validation.
Solution Approach 2:
The patent creates universal data schemas and validation rules that can be applied across multiple products and compliance requirements. This universality allows the same framework to serve multiple functions, accelerating development while ensuring comprehensive compliance checks.
Data Source
AI summary
According to one embodiment, a data management system has a basic function configurator to define a generic basic function, whereby the function to be performed is to be depicted in a basic function by means of descriptive attributes and associated values or value ranges necessary for processing the basic function. The function is to be depicted on a data set to which a distribution rule is allocated. A data set, with its associated distribution rules, defines a generic basic function. The data sets which define the generic basic functions, together with their distribution rules for access by a product template configurator, are contained in a basic function list. The product template configurator combines one or several basic functions and transfers these to a product template, in that the generic basic functions are mutated into specific basic functions for the product template concerned by transferring or restricting the values. A product template comprises one or more basic functions belonging to a product. A product template with specific basic functions serves as a basis for a contractual relationship with a partner. The structure of the product template is stored in a product template list for access by a contract manager.