Unified Enterprise Data Delivery Platform
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Solution Overview
Problem
Existing enterprise systems face challenges in facilitating consistent collaboration and communication across multiple platforms and applications, leading to duplicative data and inconsistent messaging.
Innovation Solution
A system comprising a back-end application server with an application workflow component, database storage component, application development component, and an integrated delivery platform that connects multiple components, exchanges API data, and automates data updates and reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple separate enterprise platforms and applications are used for data delivery, then users can access various enterprise functions, but duplicative data and inconsistent messaging occur across platforms
Solution Approach 1:
The patent merges multiple separate enterprise platforms and applications into a single unified enterprise data delivery platform. This consolidation integrates data sources, processing logic, and delivery mechanisms into one cohesive system, eliminating the duplicative data and inconsistent messaging that arise from multiple independent platforms while preserving the functional versatility needed for different enterprise data delivery scenarios.
2Ease of operation
If manual data updates are performed across multiple files and platforms, then data can be customized for each platform, but time-consuming manual processes and human error increase
Solution Approach 1:
The patent implements preliminary action by pre-configuring templates, data mappings, and delivery rules in the unified platform before actual data delivery operations. This upfront setup enables automated data processing and customization for multiple platforms without requiring manual intervention during each delivery cycle, significantly reducing update time while maintaining the ability to customize data for specific platform requirements.
Solution Approach 2:
The unified enterprise data delivery platform incorporates self-service capabilities that automatically perform data updates across multiple files and platforms based on predefined rules and templates. The system autonomously handles data retrieval, transformation, and distribution without requiring manual operations, thereby reducing both time consumption and the risk of human error while preserving data customization through automated platform-specific adaptations.
3Productivity
If an integrated delivery platform consolidates multiple components, then data exchange efficiency improves, but system complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the integrated delivery platform into distinct modular components, each handling specific functions such as data retrieval, processing, transformation, and delivery to different platforms. This modular architecture improves data exchange efficiency within each component while managing overall system complexity through clear separation of concerns, allowing independent development, testing, and maintenance of individual modules.
Solution Approach 2:
The unified enterprise data delivery platform incorporates universal, multi-functional components that can handle multiple data types, formats, and delivery scenarios through standardized interfaces and protocols. This multi-functionality reduces the need for separate specialized components for each platform, thereby improving overall data exchange efficiency while controlling system complexity through reusable, versatile building blocks.
Data Source
AI summary
According to some embodiments, systems and methods are provided, comprising: creating, via an application workflow component, one or more workflows; storing, by a database storage component, data received from the application workflow component; creating, by an application development component, one or more application products; exchanging, via an integrated delivery platform, Application Programming Interface (API) data with multiple connected components, the API data including one or more API endpoints; executing the created workflow in connection with the application product and outputting data; responsive to the output data, automatically updating a plurality of files stored in the database storage component with the output data; generating at least one report for the updated file; and publishing the at least one report. Numerous other aspects are provided.