Research Paper

Portfolio Process Mining Framework

Three metrics. Eight diagnostic patterns. A data-driven framework that turns process mining from a one-off project into a repeatable discipline for every process, every application, and every investment decision.

Digital Work Ratio, Cost to Serve, Cycle Time Efficiency
Eight diagnostic patterns with matched interventions
Investment prioritisation matrix
Continuous improvement methodology

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Featured Case Studies

Real-world examples from the research

Finance

Global Bank

How the eight diagnostic patterns identified $18M in procurement improvement opportunity across three regions.

Infrastructure

Utilities Provider

Reducing payroll cost-to-serve by 40% through variant analysis and targeted automation.

Manufacturing

Industrial Manufacturer

Moving DWR from 41% to 78% in Order-to-Cash through adoption-first intervention.

Resources

Mining & Resources

Continuous CTE monitoring that caught process regression within two weeks of a system upgrade.

What You'll Learn

A complete framework for portfolio-level process intelligence

The Three Metrics

How DWR, CTS, and CTE create a complete diagnostic of application performance in real business processes.

Eight Diagnostic Patterns

Each combination of high/low across three metrics produces a distinct pattern with a specific intervention.

Portfolio Investment Decisions

How process evidence changes which applications get replaced, which get adopted, and which get left alone.

Continuous Improvement

A four-step cycle (Baseline, Target, Act, Verify) that provides continuous feedback on whether interventions work.

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