Utilities Industry Process Mining: Trace Meter to Cash

Process Mining for Meter to Cash in the Utilities Industry

Upload your event log to see how meter-to-cash work moves through a utilities industry value chain, from meter data and billing through exceptions and resolution. Compare waiting time with recorded working time, find variants that lead to rework, and see which steps relate to a regulated service level. Use the evidence in your own operational analysis and reporting; it does not provide regulatory approval.

Why start with meter to cash?

Utilities manage service requests, billing, field operations, and infrastructure across systems that may have evolved over many years. Procedures and process maps show the intended flow, but not always how work moves between teams and systems in practice.

Meter to cash is a practical starting point because delays and rework can affect billing operations and service commitments. With event data, you can ask:

• How much time does each case spend waiting at each step, compared with time spent working?
• Which variants take longer or return to an earlier activity?
• Where do handoffs or missing information delay a service request or billing case?
• Which steps relate to the regulated service level your team tracks?
• How might a proposed change affect waiting time and workload?

What can process mining show in utility operations?

Process mining reconstructs process flows from event data. For a meter-to-cash analysis, your event log needs a case identifier, an activity, and a timestamp. Add fields to compare cases by region, customer type, service category, or another relevant attribute.

Use the discovered flow to compare actual variants with your documented process and examine:

• Waiting time: Time between recorded activities, which can reveal queues and handoff delays.
• Working time: Time recorded for an activity, if your data captures it.
• Variants: Different paths through the process, including repeated or skipped activities.
• Service-level impact: Steps and delays associated with the service level your team monitors.

Your findings depend on the events and timestamps in your source data. Validate them with process owners before using them for operational decisions or reporting. For an overview of the data you need, see the process mining data requirements.

How do you separate waiting time from working time?

A case may involve little recorded work and still take a long time to complete. The difference may be the time between activities, while the case waits for a review, correction, or handoff.

For each step, compare recorded working time with the time until the next activity. Then segment the results by variant or case type. This helps you distinguish a slow activity from a queue affecting many cases.

If your event log does not include activity start and end times, you may be able to measure gaps between events, but not exact working time. Interpret those measures accordingly. You can also analyze process bottlenecks to find where delays occur and how they affect the flow.

Which steps relate to a regulated service level?

Start with the service level your team already tracks. Map the relevant process steps and timestamps to that measure, then check which variants and waits appear in cases that miss the target.

Process evidence can show where delays occur and how often they appear in your data. Use it to support your own investigation and reporting. It does not determine regulatory compliance or replace your reporting controls.

How do you get started with a service or billing flow?

Choose one meter-to-cash flow or service request and define a clear operational question. Check that your event data includes:

• A case ID that links events to the same case.
• Activity names that identify process steps.
• Timestamps that show when each activity occurred.
• Relevant context fields, if you need to compare regions, customer types, or service categories.

Upload your event log to ProcessMind, review the discovered flow, and compare its main variants. Measure the time between activities, look for repeated steps, and validate your findings with the teams doing the work.

How can you assess a process change?

Once you understand the current flow, document the process you want to improve and define the KPIs you will use to assess it. ProcessMind supports process mapping and BPMN modeling alongside process analysis, connecting your process documentation with evidence from event data.

Use process simulation to compare modeled scenarios with a baseline. The results can inform your decisions, but simulation estimates the effects of the scenarios you define. It does not implement changes in your operations.

What should you validate before acting?

Your findings depend on data quality and process context. Before acting on a result:

• Confirm that the event log covers the process and period you intend to analyze.
• Check that case IDs and timestamps are consistent.
• Review whether activity names reflect the work your teams perform.
• Ask process owners to verify unusual variants and apparent rework.
• Confirm how your organization defines and reports its regulated service levels.

This keeps your analysis grounded in operational data and your reporting requirements. For more on how process models and mining work together, read about the Clarity Engine.

Explore the energy use case

If your utility operations include energy processes, see the energy use case.

See the energy use case

Trace one service or billing flow

Use a meter-to-cash or service-request log to examine waiting time, process variants, and the steps associated with your service levels.

Trace one service or billing flow