Workflow Visualization via Text Mining in Multi-Tenant Platforms
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Solution Overview
Problem
Existing multi-tenant management platforms rely on manual labor for project workflow tracking, which is time-consuming and not as inclusive or accurate as desired.
Innovation Solution
A workflow visualization tool that uses text mining on conversation channels to automatically import and extract project progress data, generating a visualized tree structure presentation showing overall project progress and sub-topic developments, allowing users to determine analytics based on the pattern type.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual labor is used for project workflow tracking, then users can provide status information and upload progress reports, but the process becomes time-consuming and less accurate
Solution Approach 1:
The patent replaces manual mechanical processes (users manually entering status information and uploading progress reports) with an automated text mining system that extracts workflow data from conversation channels. The system uses natural language processing to automatically identify project milestones, tasks, and status changes from unstructured text data, eliminating the need for manual data entry while improving accuracy through systematic text analysis.
2Productivity
If manual status updates are required, then project progress can be tracked, but the process is not inclusive and requires significant user effort
Solution Approach 1:
The system enables self-service by automatically extracting workflow information from existing conversation data without requiring user intervention. The text mining system autonomously processes conversation channels, identifies relevant project information, and updates workflow status automatically. This eliminates the burden on users to manually track and report progress while ensuring comprehensive data capture from all conversation sources.
Solution Approach 2:
The system performs multiple functions through a single automated process: it monitors conversation channels, extracts project status information, identifies milestones and tasks, and updates workflow tracking simultaneously. This multi-functional approach replaces multiple manual operations (reading conversations, extracting information, updating status, tracking progress) with one integrated automated system that handles all these tasks.
3Measurement precision
If automated text mining is used to extract project progress from conversation channels, then workflow tracking becomes more accurate and efficient, but the system complexity increases
Solution Approach 1:
The patent introduces an intermediary text mining system that acts as a bridge between unstructured conversation data and structured workflow tracking requirements. This intermediary layer processes raw text from conversation channels, applies natural language processing rules, and transforms the data into structured workflow information. The intermediary handles the complexity of text analysis internally while presenting a simple interface for workflow tracking, isolating system complexity from the end workflow management process.
Data Source
AI summary
Embodiments described herein provide a workflow visualization tracking tool based on text mining on a conversation channel. Specifically, a communication interface receives a plurality of user activity items that are related to a shared work item among the plurality of tenants. A first sequence of status indicators representing a workflow progress of the shared work item over a plurality of time instances may be generated from the plurality of user activity items. A first subset of the plurality of user activity items are determined, which are related to at least one sub-item reflected in the first sequence of status indicators. A second sequence of status indicators representing a second workflow progress of the at least one sub-item over the plurality of time instances may be generated from the first subset of the user activity items. The first sequence of status indicators and the second sequence of status indicators may be presented in a visualization structure via a user interface.