Software Data Platform Unified Mapping for Educational Integration
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Solution Overview
Problem
Educational organizations face challenges in efficiently integrating, managing, and securing domain-specific data due to fragmentation of information systems, lack of data integration standards, resource constraints, and high costs associated with data exchange and integration processes, particularly when dealing with numerous software vendors and sensitive customer data.
Innovation Solution
A software data platform with a graphical user interface (GUI) is configured to guide administrators through data mapping, utilizing artificial intelligence to generate insights and recommendations for successful data integration, enabling seamless integration of domain-specific data with multiple ISVs and services using a single data mapping process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional data integration processes are used for each ISV, then data can be shared with multiple vendors, but the cost and time required for setup and maintenance increases significantly
Solution Approach 1:
The patent implements a universal data integration platform that provides a single data mapping framework capable of serving multiple ISVs simultaneously. The system establishes one centralized data mapping process that can provision data to numerous vendors without requiring separate integration setups for each, thereby achieving multi-functionality and eliminating repetitive integration overhead
Solution Approach 2:
The system performs preliminary data mapping and transformation operations once to create a standardized data structure. This preliminary action establishes the foundation that enables subsequent rapid provisioning of data to multiple ISVs without repeating the complex mapping process for each vendor, thus reducing overall setup time
2Adaptability or versatility
If separate customer data integration feeds are created for each ISV, then data can be provided to multiple vendors, but the repetitive process increases resource consumption and processing costs
Solution Approach 1:
The patent merges multiple separate data integration processes into a single unified data mapping operation. Instead of creating independent data feeds for each ISV, the system combines all vendor data requirements into one centralized mapping process, thereby reducing redundant processing and improving overall productivity while maintaining the ability to serve multiple vendors
3Adaptability or versatility
If manual data mapping processes are used, then data can be integrated with ISVs, but the complexity and difficulty of maintaining multiple integrations increases
Solution Approach 1:
The system implements self-service automated data mapping that reduces manual intervention requirements. The automated process handles data transformation, mapping, and provisioning operations independently, thereby simplifying integration management and reducing the operational burden on administrators while maintaining robust data integration capabilities across multiple ISVs
4Manufacturing precision
If comprehensive data mapping is performed for each ISV, then data can be accurately mapped to vendor requirements, but the time required for data ingestion processing increases
Solution Approach 1:
The system performs comprehensive data mapping as a preliminary action once to establish accurate data transformations. This initial thorough mapping ensures data accuracy for all ISVs, and the resulting standardized mappings enable rapid subsequent provisioning without requiring time-consuming re-mapping operations for each vendor
Solution Approach 2:
The universal data mapping framework created through preliminary action serves all ISVs simultaneously. The single comprehensive mapping process achieves the data mapping accuracy required for each vendor while avoiding the time penalty of repeating the process for each ISV individually
Data Source
AI summary
The present disclosure relates to processing operations configured to improve data ingestion processing for management of domain-specific data through a software data platform. Processing described herein provides technical advantages, provided through a software data platform, that enable a user (e.g., an administrator) of an organization to more easily integrate and manage domain-specific data within a software data platform. A graphical user interface (GUI) of a software data platform is configured to guide an administrative user through data mapping processing so that the administrator can more easily integrate its organizational data into the software data platform. Insights may be automatically generated and provided to the user through the GUI, which may help to guide the administrator through the data mapping process. In further examples, generated insights may be provided as recommendations (or autocorrections) designed to foster a successful data mapping to aid provisioning of data.