The fundamentals of Process Mining
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Unlock hidden opportunities with Process Mining

Sometimes the cause of a problem is easily found, but usually process inefficiencies and bottlenecks go unnoticed and cause major performance issues throughout the organization. Process Mining gives you instant access to your "As-is" processes because it connects directly to your existing IT systems. Once you have identified the problem or improvement areas, you can start optimizing your processes to get to your desired situation.

Modern Business Process Management

No need for expensive consultants
Instant access to "as is" processes
Find opportunties and improve processes

What is Process Mining

The goal of process mining is to turn raw data from your IT systems into valuable insights. It enables you to make better decisions by analyzing and improving your processes, thereby increasing the ROI of your business.

Process Mining uses information from your IT systems to create event logs (a record of action), these contain a list of activities with a start and end time stamp. This data can contain any type of information generated by the organization, its processes, people, systems or assets. They reveal insights, bottlenecks or opportunities that would otherwise have remained hidden.

Process Mining and ERP - a perfect match

Organizations use IT systems such as Enterprise Resource Planning (ERP), Field Service Management (FSM) or Customer Relation Management (CRM) to manage a large volume of activities and information every day.

Process Mining analyzes the data from these systems to identify waste, errors and delays. On the other hand, Process Mining also allows you to simplify processes, ensure process compliance, and find opportunities for task and process automation.

Process Mining supports the entire ERP lifecycle.

Process mining helps maintain the desired ROI on existing and future ERP investments by analyzing whether actual operations are consistent with defined processes.

Adopting or migrating a new ERP

You can avoid copying mistakes and inefficiencies into your new ERP system by examining your current operations. By understanding your process landscape, you can select an ERP that is also a good fit for your organization.

Implementing an ERP system

These insights and findings can subsequently be utilized to modify the template for a new ERP deployment, or to prioritize change management for an existing system.

Using & maintaining an ERP system

After the implementation of the new ERP system, Process Mining allows you to instantly see which areas are deviating from the desired situation. This enables IT and business management to respond quickly to errors or problems.

Getting started with Process Mining

We apply Process Mining in 4 easy steps: data collection, process discovery, process enhancement and process monitoring. Starting Process Mining is quick and easy and always has a positive business case.
Data Collection
Process Discovery
Process Enhancement
Process Monitoring

Collect raw data from source systems

Every interaction made within your IT-systems, whether Microsoft, SAP, IFS, Oracle, Salesforce, ServiceNow or others, generates digital footprints - raw data that can be turned into a record of activities.

The first stage of Process Mining is to establish a live connection to those key data sources (through pre-built connectors and APIs), collect that raw data, and turn it into an event log. These event logs are combined by process mining technology, which reconstructs process flows throughout your whole business as they occur, each and every time.

Discover process barriers and their root causes

Analyzing event logs at scale reveals every step of every process, every time it has ever been performed, at a level of detail that whiteboards, interviews and process mapping software could never provide. In this step of Process Mining, we quantify the entirety of your process environment: every case, pathway, variation, and error, as well as their business implications.

The objective is to discover:

  • Points of barrier (and their root causes)
  • Optimal pathways (and every deviation)
  • Business outcomes (for initial conditions and corrective actions taken)

Enhance processes by proactively removing barriers

The variations and root causes uncovered in the Discover phase serve as the basis for enhancement opportunities. These will bepractical measures to smooth out your processes and automate the flow for your human and digital workforces. During this stage, business users use AI and machine learning models to execute these optimizations in all relevant transactional systems through the Process Mining tool.

These actions could be in service of:

  • Correcting and removing errors
  • Reducing manual effort
  • Improving orchestration, standardization, and governance
  • Increasing rates of automation

Monitor performance & improvement opportunities

Process Mining is grounded in continuous improvement - discovery, analysis and enhancement are ongoing processes that keep your processes aligned with your changing business needs. In the fourth stage of Process Mining, managers assess and monitor process performance against KPIs and business outcomes.

This feedback loop is vital to help the whole business:

  • Be accountable to progress against targets
  • Course-correct in real-time
  • Grow engagement across different teams
  • Spot additional Process Mining opportunities

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The Fundamentals of Process Mining

In the real world, there is a huge gap between the drawing board and day-to-day operations. The same is true for business processes and operations. Process Mining can help bridge that gap.
The cause of process inefficiencies
How Process Mining helps organizations
3 use cases of process mining

Let's get you started

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Pieter den Hollander
Director Deep Value