The Hidden Story in Your Data

If you've got systems logging data points, you might be exporting these data points to Excel, calculating lead times, measuring performance against agreed targets, and tracking other measures of the organisation's performance. Perhaps you've even built a slick, real-time dashboard filterable to the nth degree, updated on the hour and impressive in meetings.

And yet, when things go wrong, you may still find yourself without enough information to know where or why things went wrong. So, you make a guess, call up the relevant team, and go into interview mode, asking around to find someone who has an inkling of where the issue might be.

You eventually solve the problem (there goes most of your day), and to stop it taking as long to troubleshoot next time, you ask for more measurements to be added to the ones you already have.

The trouble is, traditional measurements don't tell the whole story. And the people you've been interviewing to understand the story? They're often only familiar with the slice of the process they see, unaware of the dozens of variations happening across the rest of the workflow. So the story you get through interviews is not always complete.

But what if the same data you're using for your measurements could tell the story as well? Imagine a system where you log in, and you can see the rework, the shortcuts, and the manual interventions people make during automated workflows. What if you could measure both the outcomes and the journey in one analytics platform? Well you can, with process mining.

Metrics Tell You What. Process Mining Shows You How and Why.

Process mining shows the actual paths that work takes through your organisation. Not the theoretical flows. Not the ideal version someone mapped out five years ago. The real thing.

Instead of just telling you the average time between two milestones, process mining reveals the average time taken along with:

• All the different ways work flows between those two milestones.
• Where work loops back, gets stuck, or detours through unnecessary steps.
• Where people are manually intervening in automated workflows.

This isn't guesswork. This is your data (usually the same data you've been transforming into a pre-defined set of measures) assembled into a full view of how your processes are operating. Full business transparency at your fingertips.

Once You See It, You Can't Unsee It

In a previous role, I helped build a process mining capability inside a large global organisation. Time after time, the same thing happened: we'd load up the data as a visualisation of the process flows, and watch the quizzical expressions appear.

The moment teams realise what their processes actually look like

People would say, "No… that can't be happening."

But it was. Revealed by the very data they've been analysing for years. They just needed to see that data as a complete process flow, not as a page of pre-defined metrics.

Once that visibility was there, everything changed. Conversations shifted from speculation to evidence. The impact of potential solutions could be measured before they were implemented, and those solutions with the greatest impact could be prioritised. No more trial and error. Just smarter decision making at speed.

Why We Started Flow Myna

We believe small and mid-sized businesses deserve this level of insight too.

You shouldn't need a data science team or an enterprise budget to understand your own operations. Your systems are already generating the data. The events are already being logged.

We just help you see the story your data is hiding in plain sight.

Final Thought

Measuring outcomes is a great start, far better than flying blind. But on their own, you're missing half the story. They tell you what happened, but not how or why.

If you're just getting started, don't wait to build perfect dashboards before you explore process mining. You can get clarity on both results and the underlying flow, without the usual hassle of stitching together reports that still miss the big picture.

Process mining fills in what traditional measurements leave out. It brings visibility where before, there were only more questions. Visibility that becomes the foundation for smarter decision making.