Analyse & Improve
Analytics Dashboard
Lean metrics, bottleneck detection, and waste classification
Estimated savings: 12.3 min/cycle, +5% PCE
Estimated savings: 4.1 min/cycle, +2% PCE
Estimated savings: 1.8 min/cycle, +1% PCE
Overview
The Analytics Dashboard calculates Lean metrics automatically from your map data and presents them in clear, actionable visualisations. See lead time, cycle time, takt time, process cycle efficiency, and value-add ratios at a glance. Bottleneck detection highlights the constraints limiting your throughput, while TIMWOODS waste classification quantifies where non-value-add time is hiding. Monte Carlo process simulation lets you model staffing variation, demand fluctuation, and uncertainty with confidence intervals. Track these metrics over time to measure the real impact of your improvement initiatives.
Why Analytics Dashboard?
Three reasons teams choose this tool
Instant Lean Metrics
Lead time, cycle time, takt time, and PCE calculated automatically from your map data. No spreadsheets needed.
Data-Driven Decisions
Bottleneck detection and waste classification replace gut-feel analysis with hard evidence.
Track Real Impact
Trend charts show metric changes over time. Prove that your improvements are delivering measurable results.
How It Works
Get started in four steps
Open Your Map
Navigate to any map and the analytics dashboard calculates metrics automatically.
Review Metrics
Lead time, cycle time, takt time, PCE, and waste breakdown displayed in clear visualisations.
Identify Bottlenecks
AI highlights constraints and waste hotspots directly on your map with drill-down detail.
Track Over Time
Trend charts show metric changes across versions. Measure the real impact of improvements.
Applications
Real-world use cases
Presenting improvement results to leadership with hard data
Identifying the single biggest bottleneck in a process
Tracking PCE improvement over quarterly review cycles
Comparing performance across departments or facilities
Capabilities
Everything included
Preview
See it in action
Analytics Dashboard
Value Stream Map
Current StateTemplate Library
Integration Marketplace
23 connectorsMonte Carlo Simulation
Team Workspace
Desktop Recording — 04:23
| Time | App | Action | Duration | Type |
|---|---|---|---|---|
| 0:00 | SAP | Open purchase order | 0:12 | VA |
| 0:12 | Excel | Update pricing sheet | 1:33 | VA |
| 1:45 | idle | Waiting for approval | 1:35 | NVA |
| 3:20 | Outlook | Send confirmation email | 0:45 | VA |
Smart Suggestions
The approval step at position 3 has a cycle time of 12.3 min with 67% wait time. Automating with rule-based approval could eliminate 80% of the wait.
Two consecutive inspection steps could be merged into a single quality gate, reducing handoff waste and duplicate setup time.
AI Analysis
CompleteReady to try Analytics Dashboard?
Available on the free plan. Create an account and start using it today.