Telemetry Modeling for Workflow Event Replay and Visualization
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Solution Overview
Problem
Conventional workflow analytic techniques struggle to accurately portray and visualize complex digital workflows due to their complexity and intricacy, leading to inadequate support for issues encountered and high resource intensity.
Innovation Solution
A method for providing telemetry modeling that includes detecting workflow initiation, aggregating platform data to generate an initial operating state, capturing telemetry data, distilling it into data sets representing change events, and persisting these data sets with an identifier, enabling the generation of visual representations that replay workflow perturbations at any point in time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional workflow analytic techniques are used to visualize complex digital workflows, then the implementation is resource intensive, but the accuracy and reliability of event portrayal deteriorates
Solution Approach 1:
The patent segments the workflow analysis into distinct components: event detection, state aggregation, and visualization. By dividing the complex workflow into manageable segments (individual events, state changes, perturbation types), the system achieves accurate event portrayal without requiring excessive computational resources to analyze the entire workflow monolithically.
Solution Approach 2:
The system performs preliminary actions by detecting and recording workflow events as they occur, maintaining an event log and aggregating state information in real-time. This preliminary capture of data enables accurate retrospective analysis and visualization without requiring intensive resources during the actual workflow execution or post-analysis phase.
2Measurement precision
If conventional workflow analytic techniques are used to analyze complex workflows with multiple actors and real-time changes, then the flow of events cannot be accurately portrayed, but implementing more sophisticated techniques increases resource consumption
Solution Approach 1:
The patent introduces an intermediary event logging system that captures workflow events without interfering with the actual workflow execution. This intermediary layer records events, actors, and state changes with high precision while keeping the analysis system complexity manageable by using standardized event structures and aggregation techniques.
Solution Approach 2:
The system achieves high measurement precision by tracking parameter changes in workflow state (e.g., order status, inventory levels, actor actions) rather than attempting to model entire workflow complexities. By focusing on specific state parameters and their changes, the system accurately portrays events without requiring proportionally complex analysis infrastructure.
3Productivity
If piecemeal conventional workflow analytic techniques are used, then support for workflow issues is limited, but comprehensive analysis increases resource intensity
Solution Approach 1:
The patent implements feedback mechanisms where detected events and aggregated states are continuously refined and used to improve workflow understanding. The system provides feedback loops that allow accurate issue identification and resolution support without requiring continuously increasing computational resources, as the aggregated state information enables efficient pattern recognition and anomaly detection.
Data Source
AI summary
A method for providing telemetry modeling to facilitate workflow visualization is disclosed. The method includes detecting, from a data stream, an initiation of a workflow on a platform; aggregating platform data to generate an initial operating state of the platform; persisting, in a repository, the initial operating state together with an identifier that is associated with the workflow; capturing, via a graphical user interface, telemetry data that corresponds to the workflow, the telemetry data including user telemetry data and associated platform telemetry data; distilling the telemetry data to generate data sets, the data sets representing change events in the workflow; and persisting, in the repository, the data sets together with the initial operating state.