Process Mining

Intelligently map workflows to uncover process bottlenecks and analytics to optimize the ways you work and operate.

What is Mavim Process Mining?

Process Mining can be applied to your customer service, procurement, finance, operations, and other business areas. With Mavim Process Mining, you discover fact-based insights on how processes are executed. You can find process anomalies, compliancy conflicts, deviation patterns and investigate rework. Our Process Mining technology works upon event logs that contain the following data:

A unique object that can be traced through parts of your process (sales order ID)
An activity or transaction status that is being executed (Sales order created)
A timestamp that tracks when the activity was executed (2022- 10-20 13:45:22). Value adding data points can be added for thorough drill through and benchmarking analysis.

Benefits of Mavim Process Mining

End-to-end visibility on your process execution (100%)

Get 100% overview of the process execution to detect rework activities and loopholes in the day-to-day operations of the IT ticket system.

Shorter lead times after RPA implementation (-80%)

Cut throughput time by 80% between two activities through implementing RPA after analyzing the process execution times and diving into the root causes

Decrease in fraudulent handover moments (-65%)

Through resources analysis the handover of work by the same resource has dropped by 65%.

Increase operational efficiency (+59 %)

By spotting inefficiencies in the process executions, the bottlenecks were identified and improvement projects initiative to increase operational efficiency by 59%.

Process Mining as value adding capability to create your DTO

In this webinar we will dive deeper into the value adding use cases of process mining to support the journey towards your digital twin of an organization (DTO). By leveraging process mining capabilities, you can discover insights upon data coming from your operational systems to help support in your transformation journey. Listen in to uncover some insights around what is needed to start with process mining and be shown some practical examples on where you can apply process mining and what value can be derived from it.

Process Discovery

You already know about process mining. But its capabilities grow when seen in context: as the first part of Mavim’s trio of mine, design, improve. Discovery is the first step: looking deep into your business and seeing how data connects to data across stakeholders and silos. After all, to get to the right destination you need a good map. Process mining delivers it.

Build a map of your operational processes from actual data
See how processes interact, with metrics to match
See the variants and duplicates that create friction
View your business in aggregate as an operational model
See how it changes, in real time, with real events

Root Cause Analysis

After the what comes the why. Root cause analysis lets you deep-dive the bottlenecks and blockages that cost you time and money, and see what causes them – and the root cause may be far upstream from the negative outcome it leads to. RCA helps you look back, take action, and move forward.

Find the real cause of suboptimal outcomes, enterprise-wide
See where interacting processes lead to unexpected issues
See the variations and deviations from planned processes
See where your time is best spent making changes

Accelerated process redesign

No tabletops covered in paper, no scribbled wallcharts, no ambiguities. With Mavim, your process map is drawn from actual data in your systems – it’s what people actually do, not what they say they do. And an accurate model of what happens cuts vast chunks of time and resource from your management needs. APR lets you extract data, see the big picture, and plan changes in one place.

See the big picture of your business, in one place
Drill down and deep-dive any process to learn more
Design new processes knowing your starting point
See how changes fit into your existing operational model

Process Monitoring

The job isn’t over once changes are in effect. Every new process needs to be watched, to make sure it has the planned effect and doesn’t cause unintended consequences elsewhere. Process monitoring shows you the change in the detail you need: how it improve a process, what it changes across your organization, and whether further changes would help.