Business process guide
Data Analytics for Process Optimization
Process analytics becomes useful when data is connected to cases, activities, timestamps, outcomes and business conditions.
Practical note: process design depends on organization, data, controls, laws, contracts and technology. Treat examples and calculators as educational planning aids, then validate changes against your own requirements.
Descriptive analytics
Describe volume, cycle time, backlog, defect and route patterns.
Diagnostic analytics
Compare segments to identify where delays or rework are concentrated.
Predictive and prescriptive analysis
Prediction estimates what may happen; prescriptive analysis compares potential actions. Both require stronger validation than simple reporting.