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 Djibouti
How participants can apply the training in local operating conditions, and the return their organisation can plan for.
How participants apply this
Expected ROI
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 Djibouti teams may encounter, and that may be featured in training where they support the confirmed course scope.
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.
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Microsoft Power BI MicrosoftUsed to build operational dashboards, track KPIs, and present process bottlenecks in a form that managers can act on.
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Celonis CelonisUsed for process mining to reconstruct workflows from event data and identify rework, delays, and conformance issues.
