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Process mining
The fundamentals of Process Mining
See how your processes actually run
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 and objectively presents the facts.
Modern Business Process Management
- No need for expensive consultants
- Instant access to “as is” processes
- Find opportunities 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 all activities), maps them into process models, and then analyzes them to find inefficiencies.
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.
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.
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.
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.
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.
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 be practical measures to smooth out your processes and automate the flow for your human and digital workforces.
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.
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
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
Download
The Executive Perspective: Process Mining
Understand how process mining reveals bottlenecks, compliance risks and improvement potential inside the workflows your teams already use every day.
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Questions before starting with process mining
Process mining shows how work actually flows through your systems, not how the handbook says it should.
Software that reconstructs your real process flows from system event data: every order, approval and exception as it actually happened, visualised end to end.
Evidence. Bottlenecks, rework loops and compliance deviations become visible with numbers attached, so improvement discussions stop being opinion exchanges.
No. Process mining reads event data from almost any ERP or operational system. It is often the first step before an IFS decision, not after it.
The first factual process picture typically lands within weeks, because it uses data you already have. Acting on it is the real project.
It de-risks one. Measuring the current process first means you configure the new system on facts, and you can prove the improvement afterwards.
Discuss Process Mining with Eqeep
Share where the process is under pressure and what your team needs to control better. We will help you choose the practical next step in IFS.
You will hear from someone who understands your industry, your IFS context and the balance between people, process and technology.