Real-Time Process Transaction Visibility Dashboard
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Solution Overview
Problem
Complex process operations involving multiple system-to-system and human-to-system interactions pose challenges in measuring and tracking efficiency and effectiveness due to complex inter-relationships between parameters, hindering insight generation and requiring structured multidimensional representations for data exploration.
Innovation Solution
A computer-implemented system and method providing real-time process transaction visibility through a digital dashboard that identifies current and changed statuses of process transactions, calculates Key Performance Indicators (KPIs), and displays a unified view, including traceability reports, to facilitate efficient monitoring and corrective actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple system-to-system and human-to-system interactions are combined to process complex transactions, then the process operation can handle diverse and complex business scenarios, but the complexity of tracking and measuring efficiency increases significantly
Solution Approach 1:
The patent segments the complex process lifecycle into discrete milestones and states, each with unique identifiers. This segmentation allows the system to break down complex transactions into manageable units that can be tracked independently, reducing the overall complexity of monitoring while maintaining comprehensive visibility across multiple system and human interactions.
Solution Approach 2:
The patent introduces an intermediary tracking system that acts as a mediator between multiple source systems and the monitoring interface. This intermediary layer consolidates data from diverse sources, standardizes the information format, and presents unified views through digital dashboards, thereby simplifying the complexity of tracking interactions across multiple systems without losing adaptability.
2Loss of information
If multiple inter-related parameters are monitored to measure process efficiency, then comprehensive insights can be generated, but the cognitive load increases and hinders insight generation
Solution Approach 1:
The patent merges multiple inter-related parameters into unified process views displayed on digital dashboards. By consolidating related metrics and presenting them in integrated visual formats, the system maintains comprehensive information about process efficiency while reducing the cognitive burden of analyzing numerous separate parameters, thereby facilitating easier insight generation.
Solution Approach 2:
The patent transforms complex multi-parameter data into visual representations through digital dashboards and process maps. This dimensional transformation from tabular data to visual spatial representations allows users to perceive relationships and patterns more easily, reducing cognitive load while preserving comprehensive process insights through graphical interfaces.
3Loss of time
If real-time tracking of process transactions is implemented, then immediate visibility and timely corrective actions are achieved, but the system complexity and data processing requirements increase
Solution Approach 1:
The patent implements preliminary action by pre-defining milestones, states, and alert conditions within the process lifecycle framework. These pre-configured elements enable automatic triggering of notifications and corrective actions when specific conditions are met, achieving real-time response without requiring complex real-time analysis systems, thereby reducing system complexity while maintaining immediate visibility.
4Reliability
If detailed status tracking at each process step is maintained, then complete traceability is achieved, but the data volume and processing requirements increase
Solution Approach 1:
The patent extracts only the essential status information and key performance indicators needed for effective monitoring and traceability. By selectively capturing critical data points at each milestone rather than all possible parameters, the system maintains complete traceability accuracy while significantly reducing the overall data volume and associated processing requirements.
Data Source
AI summary
A system and a method for process transaction visibility of one or more steps in a process lifecycle. The method includes identifying a current status of one or more process transactions at a first step of a process lifecycle and determining a change in the status of the one or more process transactions at the first step based the complete of a milestone of the one or more process transaction at the first step. A one or more Key Performance Indicators (KPIs) information is calculated for the current status and the changed status of the one or more process transactions to generate a KPIs report. A unified view of the current status and changed status of the one or more process transactions is displayed on a digital dashboard.