Data Marketplace Integration Platform for Automated Data Sales
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Solution Overview
Problem
Current methods for transacting business data between entities involve multiple software applications and integration processes, requiring customization for each business, which is time-consuming and costly. Additionally, businesses underutilize their data due to lack of tools to identify, categorize, and access large volumes of data being transmitted.
Innovation Solution
A system and method that uses a graphical user interface to model customized data integration processes, allowing businesses to track data organization and storage across entities. This system identifies opportunities for data sales or purchases through online data marketplaces by leveraging metadata from user-modeled integration processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple software applications and integration processes are used to transact business data between entities, then data can be exchanged between different systems, but the customization required for each business is time-consuming and costly
Solution Approach 1:
The patent implements a universal data integration platform that can handle multiple data formats, protocols, and integration scenarios through a single system. The platform provides pre-built connectors and templates that work across different business contexts, eliminating the need to create custom integration processes for each transaction scenario.
Solution Approach 2:
The system performs preliminary actions by pre-configuring integration templates, data mapping rules, and connection parameters before actual data transactions occur. These pre-established frameworks are then reused across multiple businesses and scenarios, significantly reducing the time required for customization while maintaining adaptability.
2Adaptability or versatility
If multiple software applications and integration processes are used to transact business data between entities, then data can be exchanged between different systems, but the customization required for each business is costly
Solution Approach 1:
The patent implements a universal data integration platform that can handle multiple data formats, protocols, and integration scenarios through a single system. The platform provides pre-built connectors and templates that work across different business contexts, eliminating the need to create custom integration processes for each transaction scenario.
Solution Approach 2:
The system enables copying of proven integration templates and configurations across different businesses and scenarios. Once an integration process is successfully configured for one business, it can be replicated and adapted for others, significantly reducing the cost of customization while maintaining the ability to handle diverse data exchange requirements.
3Quantity of substance
If businesses transmit large volumes of data across entities, then data availability increases, but businesses underutilize their data due to lack of tools to identify, categorize, and access it
Solution Approach 1:
The patent segments large volumes of transmitted data into categorized groups based on business relevance, data type, and usage patterns. The system automatically organizes data into manageable segments that can be easily identified and accessed, transforming the overwhelming bulk data into structured, accessible information resources.
Solution Approach 2:
The system introduces an intermediary data catalog and search layer between the transmitted data and business users. This intermediary structure provides tools to identify, categorize, and access data without requiring users to navigate the raw data streams directly, making large volumes of data practically accessible and usable.
4Productivity
If businesses underutilize their data due to lack of tools to identify, categorize, and access it, then data transmission can continue, but potential revenue streams from data sales are lost
Solution Approach 1:
The patent segments large volumes of transmitted data into categorized groups based on business relevance, data type, and usage patterns. The system automatically organizes data into manageable segments that can be easily identified and accessed, transforming the overwhelming bulk data into structured, accessible information resources.
Solution Approach 2:
The system implements feedback mechanisms that analyze data usage patterns and provide insights about valuable data assets. By monitoring how data is accessed and utilized, the system identifies high-value data sets that can be monetized, creating a feedback loop that connects data transmission efficiency with data value realization and revenue generation.
Data Source
AI summary
A method of identifying and enabling a data marketplace system transaction may comprise receiving an enterprise user object map defining a dataset field name and storage location for a dataset to be migrated pursuant to a user data integration process modeled by a user with a plurality of visual elements, identifying a data marketplace domain classification for the dataset to be migrated based on the enterprise user object map, querying a data marketplace application programming interface (API) to determine that it provides a marketplace for datasets meeting the data marketplace domain classification, generating a dataset sale integration process for transmitting the dataset of the data marketplace domain classification selected by the user for sale from a storage location defined by the user data integration process to a location defined by the data marketplace API, and automatically transmitting the dataset of the data marketplace domain classification to a purchaser.