How Do Businesses Improve Process Visibility Through Process Mining?
Businesses improve process visibility through process mining, using the event log data every system already records to reveal what's actually happening in a process, rather than what people assume is happening based on interviews and observation. Even the best designed process evolves organically over time to include sub-processes, workarounds and bottlenecks, and until you can pinpoint exactly where they are, it's hard to know where to focus improvement efforts.
Why traditional process improvement relies on guesswork
The traditional approach to process improvement involves a business analyst conducting manual observations, interviews and surveys to map out what's happening. It's a reasonable starting point, but it's slow, labour intensive, and dependent on people accurately remembering and describing a process they may not fully see end to end.
That reliance on manual mapping creates real limitations:
- People asked to describe a process are likely to miss steps, edge cases or how long things actually take.
- Less than one in five organisations consider themselves mature in optimising processes for continuous improvement.
- Deviations from a defined process, which can expose the business to fraud or compliance risk, often go unnoticed.
- Workers spend the majority of their day, as much as 58 percent according to one industry study, on work about work rather than the tasks they were actually hired to do.
How process mining actually reveals the real picture
- 01
Collect event log data
Every time a system or application is used, it logs the action taken, including a case identifier, the event type, and a timestamp. Process mining collects this data automatically.
- 02
Reconstruct the actual process
That event log data is used to build a digital audit of the process as it actually happens, which is often quite different from how people describe it in interviews.
- 03
Visualise the end to end flow
The process is modelled visually, start to finish, highlighting variations so bottlenecks and inefficiencies become obvious rather than hidden.
- 04
Identify pain points and risks
Bottlenecks, unnecessary steps, and deviations from the intended process, some of which may carry compliance or fraud risk, are surfaced clearly.
- 05
Prioritise what to fix or automate
With a clear, data-driven picture in hand, decisions about where to invest in process improvement or automation are grounded in fact rather than assumption.
What this means in practice
- A transparent, data-driven view of how a process actually runs, not how people assume it runs.
- Bottlenecks, handoffs and inefficiencies identified quickly, without lengthy manual observation.
- Risks and compliance deviations surfaced that might otherwise go unnoticed.
- A quantified business case for improvement initiatives, helping justify investment to senior leaders.
- A foundation for continuous process improvement, not a one-off exercise.
The business intelligence process mining delivers is considered valuable enough to be driving market growth at a compound annual rate of 33 percent, according to Gartner, yet fewer than one in five organisations currently consider themselves mature in optimising their processes for continuous improvement.
How Inpute helps businesses improve process visibility
Through our partnership with Hyland, a market leader in intelligent data capture and process intelligence, we help organisations move through the process discovery phase using real event log data, giving you the genuine as-is picture of how your business operates before deciding where to focus improvement or automation.
Process mining works best as an ongoing discipline, not a single exercise. We help build the monitoring in so new bottlenecks are caught as they emerge, rather than waiting for the next manual review cycle.
Where this fits with the rest of your automation strategy
Process mining is closely tied to identifying the best automation candidates, since it validates assumptions about frequency, volume and complexity with real data rather than workshop input alone. It's a strong starting point before automating any process, distribution and logistics, finance, or otherwise.
Frequently asked questions
An event log is the record every system automatically creates each time an action is taken, capturing a case identifier such as an order number, the type of event, and a precise timestamp.
Traditional process mapping relies on interviews and observation, which reflects what people believe is happening. Process mining uses actual system data, revealing what's genuinely happening, which is often different.
It sits at the process discovery phase, before automation design. Uncovering, visualising and improving a process before automating it is generally considered the top priority in any serious automation effort.
It applies broadly, but supply chain, banking, financial services, shared services and workforce productivity are all areas where process mining commonly reveals significant opportunities.
Process Automation solutions we deliver
Removing manual work from a process frees people to focus on what actually needs their judgement. Here's how organisations are putting that into practice.
- How Do Organisations Scale Operations Without Increasing Headcount?
Automate the processes limiting growth, so transaction volumes can increase without a proportional rise in staff.
- How Do Finance Teams Automate Manual Processes?
Remove spreadsheet dependency and email approvals from finance operations, replacing manual reporting and reconciliation with automated workflows.
- How Do Distribution and Logistics Companies Improve Operational Efficiency?
Small, incremental improvements that have an outsized impact in high-volume, lower-margin operations.
- How Low-Code Automation Tools Like Microsoft Power Platform Drive Rapid Operational Efficiencies
Build and deploy automation in weeks using tools like the Microsoft Power Platform, without a lengthy, costly development cycle.
- How Do You Identify the Best Automation Candidates?
A practical framework for finding and prioritising the processes most worth automating first.
- How Can Case Management Improve Customer Experience?
Track every customer interaction to resolution with a complete view of the information your team needs.
- How Do Businesses Improve Process Visibility Through Process Mining?
See what's actually happening in your processes, using real data rather than assumptions or interviews.
See how this would work for your business
Get in touch for a free, no-obligation walkthrough of what process mining could reveal about your organisation.
Let's talk
Get in touch.
Fill in the form and one of our team members will be in touch shortly.