Process-Driven Business Intelligence API Context Matching
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Solution Overview
Problem
Current Business Intelligence (BI) systems are complex, not integrated with business processes, and require users to manually select reports, leading to inefficiencies and incomplete data capture.
Innovation Solution
A process-driven BI framework that receives context data from business process tools, identifies relevant APIs to retrieve source data, and provides integrated business intelligence, suggesting APIs based on context to automate report generation and data retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If professional BI tools are used to generate reports, then the quality and comprehensiveness of business intelligence is improved, but the complexity of the tools and environment increases, requiring expert knowledge that typical business users lack
Solution Approach 1:
The patent introduces an intermediary layer between business users and BI tools that automatically translates business process context into appropriate BI queries and reports. This intermediary handles the complexity of tool configuration and data retrieval, allowing users to benefit from professional BI capabilities without needing expert knowledge.
Solution Approach 2:
The system enables self-service by automatically generating relevant business intelligence reports based on the current business process context. The system autonomously identifies what information is needed, retrieves it from appropriate sources, and presents it to the user without manual intervention in report generation.
2Ease of manufacture
If BI tools are kept separate from business process tools, then each tool can be optimized independently, but integration is lost requiring users to switch applications which reduces productivity
Solution Approach 1:
The patent merges BI functionality with business process tools by embedding intelligence generation directly within the workflow application. This combination allows users to access relevant business intelligence without leaving their current application, maintaining the benefits of specialized tools while eliminating the need to switch contexts.
Solution Approach 2:
The system implements multi-functionality by enabling the business process tool to simultaneously perform workflow management and business intelligence generation. The unified system can handle both operational tasks and analytical queries, reducing the need for separate specialized applications.
3Adaptability or versatility
If users manually select reports from a long list, then they can choose specific information, but the process is time-consuming and work efficiency is impaired
Solution Approach 1:
The system performs self-service by automatically determining and generating the most relevant business intelligence reports based on the current business process context. It autonomously identifies information needs and retrieves appropriate data without requiring users to search through or select from multiple report options.
Solution Approach 2:
The system takes preliminary action by pre-identifying and preparing relevant business intelligence before the user needs it. Based on the business process context, the system proactively generates or retrieves the most likely needed information, so it is immediately available when the user requires it.
Data Source
AI summary
Described herein is a technology for facilitating process driven business intelligence. In one implementation, context data generated by a business process tool is received. One or more relevant application programming interfaces (APIs) are identified by matching the APIs with the current attribute associated with the context data. The APIs are executable by a processor to retrieve source data from an information source and provide business intelligence based on the source data.