Process Mapping & Analysis

Bottlenecks, capacity, queues, process mining, simulation, customer journeys and root-cause analysis.

Find the step, role, queue, decision or system condition that limits end-to-end flow.

Estimate how demand, handling time, availability and variability affect operational capacity.

Manage process queues using age, priority, capacity and work-in-process visibility.

How event logs can reconstruct real process paths, variants, delays and conformance patterns.

Assess case identifiers, activities, timestamps, event completeness and data quality before process-mining analysis.

Compare observed process behavior with a defined model, policy or expected sequence.

Use scenario models to explore queues, capacity, service times, branching and demand before changing the live process.

Understand when a process model connected to live operational data becomes more than a static simulation.

Use customer-journey views and internal process maps together without confusing them.

Compare PDCA, Lean, Six Sigma, DMAIC, Kaizen, Theory of Constraints and agile improvement approaches.