Centralized Application for Third-Party Data Synchronization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Registered investment advisors face inefficiencies due to the diffuse nature of data sources and the lack of seamless communication between disparate third-party applications, requiring multiple log-ins and manual data synchronization, which hampers workflow processing and data management.
Innovation Solution
A centralized application that provides context-based user authentication, workflow processing, and data management by receiving changed data from third-party applications, determining urgency types, mapping data to appropriate structures, and sending requests for synchronization across multiple third-party applications, thereby eliminating the need for redundant log-ins and manual data updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a centralized application is implemented to provide single sign-on and unified data management, then ease of operation and productivity are improved, but device complexity and integration difficulty worsen
Solution Approach 1:
The centralized application serves as an intermediary between users and multiple third-party applications. It handles authentication centrally, manages data synchronization, and coordinates workflows across different applications, eliminating the need for users to manually integrate multiple systems while the system itself manages the integration complexity.
Solution Approach 2:
The centralized application performs multiple functions including authentication, data management, workflow coordination, and synchronization across different third-party applications. This multi-functional approach consolidates what would otherwise require multiple separate tools, improving ease of operation while centralizing complexity within a single platform.
2Adaptability or versatility
If separate third-party applications are used for different functions, then adaptability and functionality are improved, but loss of time and productivity worsen due to multiple log-ins and manual synchronization
Solution Approach 1:
The system merges the operational aspects of multiple separate applications into a single centralized interface. Users access all functional versatility through one login, and the system automatically combines data from different sources, eliminating the time lost to manual synchronization while preserving access to diverse functionalities.
Solution Approach 2:
The centralized application establishes continuous automatic data synchronization between itself and third-party applications. This eliminates interruptions where users would otherwise need to manually refresh or synchronize data, maintaining continuous workflow while preserving access to multiple specialized functions.
3Adaptability or versatility
If customized interfaces are constructed between separate applications, then adaptability is improved, but device complexity and ease of repair worsen due to intensive modification requirements
Solution Approach 1:
The centralized application acts as a standardizing intermediary that provides uniform interfaces to multiple third-party applications. This eliminates the need for each application to have customized interfaces, reducing complexity and making the system easier to maintain while still providing adaptability through the centralized layer's ability to communicate with different applications.
Data Source
AI summary
Described are computer-based methods and apparatuses, including computer program products, for providing context-based user authentication, workflow processing and data management in a centralized application in communication with a plurality of third-party applications. Changed data from a first third-party application is received by a centralized application. The changed data is processed by the centralized application. The processing comprises determining an urgency type, a second third-party application to which at least a portion of the data is applicable, mapping the data to a second third-party application data structure, and generating a request including the data structure and based on the urgency type and the second third-party application. The request is sent to the second third-party application. Data in a database associated with the centralized application is updated based on the changed data.


