Research, Data Analytics, and Business Intelligence Denmark

Process Mining and Operational Analytics Training Course

Process mining and operational analytics are now essential for teams that need to prove where work actually flows, where it stalls, and which control points drive delay. When your operational decisions rely only on workshop assumptions or static KPI reports, you miss the event-log evidence that tools such as Celonis and Microsoft Power BI can reveal, especially as AI-assisted process analysis and automation reshape how operations teams identify exceptions, rework, and compliance gaps. Process mining and operational analytics is the discipline of extracting event-log data from enterprise systems, reconstructing end-to-end process behaviour, and translating that evidence into improvement actions. It enables professionals to discover process variants, quantify cycle-time and rework drivers, and build dashboards that support process improvement and operational governance. This course is designed for operations managers, business analysts, process excellence specialists, continuous improvement leads, and analytics professionals who need practical methods they can apply to real workflows. By the end of the training, you will be able to produce a process map, a bottleneck analysis, a KPI dashboard, and an operational improvement plan that decision-makers can act on with confidence.

Duration
5 Days
Duration
Certificate
Certificate
Included
Delivery
Instructor-Led
Delivery
Level
Intermediate
Level
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Training Options

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Classroom Training

In-person sessions at premier locations

Nairobi Kenya
Mon - Fri
5 Days
USD 1,800
Kigali Rwanda
Mon - Fri
5 Days
USD 2,100
Dubai United Arab Emirates (UAE)
Mon - Fri
5 Days
USD 4,600
Zanzibar Tanzania
Mon - Fri
5 Days
USD 2,900
Customized Content
Team Training
Flexible Dates

In-person training at our premier venues — pick a city and date that works for you.

Location Duration Fee Language
Nairobi, Kenya Mon - Fri (5 Days) USD 1,800 English See dates & reserve →
Kigali, Rwanda Mon - Fri (5 Days) USD 2,100 English See dates & reserve →
Dubai, United Arab Emirates (UAE) Mon - Fri (5 Days) USD 4,600 English See dates & reserve →
Zanzibar, Tanzania Mon - Fri (5 Days) USD 2,900 English See dates & reserve →
Abuja, Nigeria Mon - Fri (5 Days) USD 3,100 English See dates & reserve →
Addis Ababa, Ethiopia Mon - Fri (5 Days) USD 2,700 English See dates & reserve →
Mombasa, Kenya Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Cape Town, South Africa Mon - Fri (5 Days) USD 4,200 English See dates & reserve →
Johannesburg, South Africa Mon - Fri (5 Days) USD 3,800 English See dates & reserve →
Kampala, Uganda Mon - Fri (5 Days) USD 2,100 English See dates & reserve →
Pretoria, South Africa Mon - Fri (5 Days) USD 3,600 English See dates & reserve →
Lagos, Nigeria Mon - Fri (5 Days) USD 2,500 English See dates & reserve →
Arusha, Tanzania Mon - Fri (5 Days) USD 2,000 English See dates & reserve →
Dar es Salaam, Tanzania Mon - Fri (5 Days) USD 2,094 English See dates & reserve →
Accra, Ghana Mon - Fri (5 Days) USD 3,800 English See dates & reserve →
Bangalore, India Mon - Fri (5 Days) USD 4,600 English See dates & reserve →
Muscat, Oman Mon - Fri (5 Days) USD 4,800 English See dates & reserve →
Naivasha, Kenya Mon - Fri (5 Days) USD 1,900 English See dates & reserve →

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About the Course

Organizations want operational results they can verify in event logs, audit trails, service timestamps, and workflow records. In process mining and operational analytics, that means you need to show process conformance, cycle-time reduction, throughput improvement, rework reduction, and SLA adherence, not just describe intentions. A credible approach draws on event log analysis, process discovery, conformance checking, and performance analysis, with supporting governance practices informed by ISO 9001 quality management thinking and control-oriented reporting discipline.

This course turns scattered process knowledge into a structured working system. You will practice extracting and interpreting event data, mapping variants, identifying bottlenecks, and designing operational dashboards with tools and methods such as Celonis-style process discovery, PM4Py concepts, Power BI, root-cause analysis, SIPOC, Pareto analysis, and control charts. What you will learn: you will discover how to convert raw workflow data into process maps, diagnose delay drivers, and prioritize operational fixes backed by evidence. You will practice the core steps hands-on, while overview-level coverage introduces advanced topics such as AI-assisted anomaly detection, process conformance scoring, and low-code automation for exception handling.

The course is designed for real operational constraints such as fragmented systems, inconsistent timestamps, competing priorities, and limited analyst time. It is built for professionals who must improve processes without stopping the business, and who need practical outputs that can support management reviews, compliance discussions, and continuous improvement plans.


Target Audience

This course is designed for professionals who need to investigate how work really moves through systems, teams, and controls, then turn that evidence into action.

  • Operations Managers responsible for cycle-time, throughput, and exception reduction
  • Business Process Analysts mapping workflow variants and rework patterns
  • Process Excellence Leads improving conformance and operational performance
  • Continuous Improvement Managers using Lean Six Sigma to target bottlenecks
  • Operational Analytics Specialists building dashboards from event-log data
  • Service Delivery Managers tracking SLA breaches and queue delays
  • Internal Audit Analysts reviewing process evidence and control gaps
  • Quality Assurance Managers linking process defects to root causes
  • ERP or workflow system analysts interpreting transactional timestamps
  • Digital Transformation Leads aligning automation with process redesign

Course Objectives

This course equips you to plan, execute, and measure process mining and operational analytics initiatives that improve throughput, strengthen compliance visibility, and support strategic operational decisions.

  • Assess current-state processes using event logs, process discovery, and conformance checking.
  • Apply process mining techniques to identify bottlenecks, variants, and rework in operational workflows.
  • Design a process map and bottleneck analysis using Celonis-style discovery outputs and SIPOC.
  • Construct an operational KPI dashboard in Power BI for cycle time, SLA, and throughput.
  • Calculate process performance measures from timestamp data, queue time, and rework rates.
  • Evaluate process conformance against ISO 9001 control expectations and workflow evidence.
  • Navigate stakeholder and compliance requirements when reporting process exceptions and control gaps.
  • Synthesize findings into an improvement roadmap, action plan, and executive summary report.

Requirements & Prerequisites

Participants should have a working understanding of operational processes, KPI reporting, and basic spreadsheet analysis. Prior exposure to process mapping, business analytics, or workflow data is helpful, but no programming is required for completion; advanced analytics topics are taught at an operational application level, not technical engineering depth. If your organization can provide sample event-log extracts, process maps, KPI dashboards, or anonymized workflow reports, those will strengthen the hands-on exercises.


Local Application and Business Return in Denmark

How participants can apply the training in local operating conditions, and the return their organisation can plan for.

How participants apply this

Participants use this course to extract event data from systems such as ERP, CRM, and ticketing platforms, then reconstruct how a process actually flows across teams. They learn to identify variants, waiting time, and rework so that improvement work is based on evidence rather than anecdote. In a Danish workplace, that typically means supporting lean initiatives, shared-service optimisation, customer-operations reviews, and internal audit or governance work. They can also produce dashboards that help managers monitor whether process changes are reducing delays and exceptions. The practical output is a process map, a bottleneck view, and an improvement plan that can be discussed with operational leaders.

Expected ROI

Within 6–12 months, organisations usually see faster root-cause analysis because teams can pinpoint delay drivers instead of spending time reconciling conflicting reports. The course can also improve prioritisation by showing which bottlenecks affect the most cases or consume the most time. For many teams, the biggest return is not only efficiency but better governance: clearer handoffs, fewer exceptions, and stronger visibility into where controls break down. If the organisation is pursuing automation, the training helps avoid automating weak processes by first revealing where redesign is needed.

Training Methodology

This is a practical, outcome-driven course designed to turn process mining and operational analytics aspiration into measurable action and credible reporting.

Methodology includes:

  • Hands-on calculation using event-log metrics for cycle time, rework, and queue time.
  • Scenario simulation of a bottleneck escalation in an order-to-cash or case-handling workflow.
  • Diagnostic review using process discovery, conformance checking, and an ISO 9001-oriented checklist.
  • Stakeholder mapping of operations, quality, audit, and automation decision paths.
  • Case study analysis across manufacturing, shared services, healthcare, and financial services workflows.
  • Group workshop to build a process improvement roadmap and KPI dashboard under time limits.
  • Reflection exercise comparing current practices with event-log evidence and benchmarked process variation.

Upcoming Sessions

Next available dates worldwide

No international sessions scheduled

Certification

Recognized credentials that advance your career

Participants who complete the Process Mining and Operational Analytics Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.

NITA Accredited

Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.

CPD Certified

Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.

Why this course earns its place on your CV

Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.

Effective Learning & Skill Development

  • Build expertise with structured, outcome-driven learning.
  • Equip individuals and teams with skills that grow with industry needs.
  • Reinforce learning through real-world scenarios, case studies and practical exercises.

Career Growth & Professional Advancement

  • Apply what you learn with a proven methodology that ensures lasting impact.
  • Develop immediately usable skills that translate directly into workplace success.
  • Gain the expertise needed for career advancement and leadership roles.

Training Optimization & Learning Excellence

  • Tailor training to industry-specific challenges and organizational goals.
  • Use data-driven insights and automation to enhance training effectiveness.
  • Evaluate progress and ensure long-term learning success.

Tools and platforms relevant to this field

Examples Denmark teams may encounter, and that may be featured in training where they support the confirmed course scope.

2

These are field-relevant examples, not a promise that every tool will be covered. Exact coverage depends on the confirmed course scope, participant needs, and delivery format.

  • Power BI Microsoft
    Used to build operational dashboards that track cycle time, rework, backlog, and exceptions after process-mining analysis.
  • Celonis Celonis
    Used to discover process variants from event logs and support bottleneck analysis and improvement monitoring.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

Local market advisory

Course relevance for Denmark

A country-specific view of market pressure, regulatory context, and practical business return behind this training.

  • Market context
  • Regulatory fit
  • Business application

Why this course matters in Denmark

A market-specific advisory on the operating pressures this course helps teams address.

Process mining and operational analytics matter in Denmark because organisations are under pressure to make workflows measurable, auditable, and faster across finance, shared services, manufacturing, logistics, and public administration. This training helps teams replace assumption-based process mapping with event-log evidence, so leaders can see where work actually stalls, where rework accumulates, and where controls are failing. It is especially useful for operations, business analysis, process excellence, and data teams that need to justify improvement investments and monitor whether changes are delivering results. For Danish organisations, the practical value is better decision-making on bottlenecks, compliance risk, and automation priorities.
Evidence over workshop memory

In Danish organisations with mature ERP and workflow systems, process mining is most valuable when leaders need a factual view of how cases move across departments rather than relying on facilitation sessions alone.

Operational governance and compliance

The course is useful where control points, approvals, and audit trails matter, because analytics built on event logs can expose deviations, rework loops, and missing handoffs that static KPI dashboards often hide.

Automation prioritisation

Teams in Denmark can use the training to identify which steps are truly repetitive and high-friction, helping them prioritise automation and process redesign where the business impact is clearest.

This training is timely because Danish organisations are increasingly expected to improve efficiency without losing control over quality, compliance, or customer experience. As more operations are digitised, the gap between reported KPIs and actual process behaviour becomes more visible, making event-log analysis a practical capability rather than a niche analytics skill.

Frequently Asked Questions

Got questions? We've gathered the answers to common queries to help you feel confident and informed.

No. You need reliable event data from source systems and a clear process scope, but a full enterprise data warehouse is not a prerequisite. Many teams start with one process and one system, then expand once they prove value.

No. Large organisations often see the fastest gains because they have more transactions and more handoffs, but smaller teams can also use it on high-volume or high-risk processes. The method is especially useful wherever the real process is hard to observe directly.

A KPI dashboard shows results, while process mining shows the path that produced those results. That makes it better for finding delay points, rework loops, and non-compliant paths rather than only reporting outcomes.

Yes. The analysis helps teams decide which steps are stable, repetitive, and worth automating, and which parts of the process should be redesigned first. That reduces the risk of automating inefficiency instead of removing it.

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