Active Data Push Delivery System for Real-Time BI Updates
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Solution Overview
Problem
Conventional business intelligence systems rely on 'push' technology to deliver data to clients, but they often require passive client participation and may not efficiently manage real-time updates, leading to potential delays and inaccuracies in data reflection on the user interface.
Innovation Solution
A system that actively pushes data from a server to a client by instantiating an encoder for active data components, querying the model for updates, and rendering a user interface representation, using a component-based architecture with server and client modules to handle encoding and decoding of data events, ensuring timely and accurate data reflection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If push technology is used to deliver data to clients, then real-time data updates are achieved, but client participation becomes passive and data accuracy may deteriorate
Solution Approach 1:
The patent inverts the conventional push model by making the client active in requesting data rather than passive in receiving it. The client initiates data requests based on specific criteria, transforming the data delivery paradigm from server-initiated push to client-initiated pull, thereby maintaining data accuracy while achieving timely updates
Solution Approach 2:
The system implements feedback mechanisms where the client actively monitors and requests data based on changing conditions. The client provides feedback to the server about data requirements and receives targeted updates, creating a closed-loop system that maintains data accuracy through active client participation
2Reliability
If conventional push technology is used, then data delivery is achieved, but latency in reflecting business operation changes increases
Solution Approach 1:
The client pre-configures data request criteria and parameters before data changes occur. By establishing data requirements in advance, the system can immediately retrieve and deliver relevant data when changes happen, eliminating delays associated with ad-hoc data requests while maintaining reliable data delivery
3Productivity
If active data caching and monitoring are implemented, then real-time reporting is achieved, but system complexity increases
Solution Approach 1:
The client performs self-service by actively managing its own data requests and monitoring its own data requirements. This shifts the complexity burden from the server's push infrastructure to the client's request management, enabling real-time reporting capabilities while simplifying the overall system architecture by eliminating complex server-side push mechanisms
Data Source
AI summary
A system that pushes active data to a client receives a first request for a page that includes active data from the client. The active data includes a component and a corresponding model for a data source of the component. The system determines if the model is active and if so, instantiates an encoder that corresponds to the component. The system queries the model for the active data and renders a user interface representation of the data. The system then returns a response to the request with the user interface representation.