Course Introduction
The Process Mining for Project Workflow Improvement Course equips professionals with the analytical knowledge and practical skills required to understand, evaluate, and improve project workflows using event data generated by organizational systems. Projects involve interconnected activities spanning initiation, planning, procurement, engineering, approvals, execution, quality assurance, payment certification, and closeout. Although these workflows are often documented through procedures and process maps, actual execution may differ significantly from the intended design. Process mining helps organizations reconstruct real workflows from system records, identify operational bottlenecks, reveal process deviations, and establish evidence-based improvement priorities that support more predictable project delivery.
Project teams frequently rely on enterprise resource planning systems, project management platforms, document management systems, procurement applications, and collaboration tools to coordinate work. These systems generate event records containing activity names, timestamps, case identifiers, responsible parties, and status changes. When analyzed systematically, this information can reveal how work moves between departments, where approvals become delayed, why activities are repeated, and which process variations contribute to cost overruns or schedule slippage. This course introduces participants to the principles of process mining and explains how event logs can be transformed into reliable insights about real project execution.
Participants explore the three core capabilities of process mining: process discovery, conformance checking, and process enhancement. Process discovery reconstructs workflows from recorded events rather than relying solely on interviews or documented procedures. Conformance checking compares actual execution with approved process models, contractual requirements, service-level expectations, and internal controls. Process enhancement enriches process models with performance information such as cycle time, waiting time, rework frequency, workload, and resource utilization. Together, these capabilities provide a structured foundation for understanding how project workflows operate and where practical improvements can produce measurable benefits.
The course examines applications across project controls, procurement, engineering design, change management, risk approvals, document review, quality management, and financial administration. Participants learn to identify long approval chains, repeated review cycles, unauthorized process deviations, incomplete handovers, and excessive waiting between dependent activities. They also explore how process mining can distinguish productive work from delays caused by queues, unclear responsibilities, missing information, and resource constraints. Particular attention is given to interpreting workflow patterns in their operational context so that analytical findings lead to feasible corrective actions rather than superficial process redesign.
A central component of the programme focuses on data preparation, event-log quality, process performance measurement, and analytical validation. Participants learn how to define process cases, activities, timestamps, lifecycle events, and organizational attributes before constructing an event log suitable for analysis. The course covers challenges such as inconsistent identifiers, missing timestamps, duplicated events, fragmented system records, and activities occurring outside digital platforms. Learners also examine how process variants, bottleneck indicators, conformance deviations, and performance trends can be visualized and interpreted using process mining tools and complementary analytical techniques.
By the end of the programme, participants will be able to define a project workflow improvement opportunity, assess relevant event data, interpret discovered process models, and translate analytical findings into targeted improvement initiatives. They will understand how to establish baseline performance, investigate root causes, prioritize interventions, and monitor whether redesigned workflows achieve the intended results. The course supports organizations seeking to reduce administrative delays, strengthen compliance, improve coordination, enhance transparency, and increase project delivery efficiency through evidence-based process improvement.
Duration
5 days
Who Should Attend
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Project managers responsible for improving project execution, coordinating workflows, and strengthening delivery performance.
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Project controls professionals analyzing approval delays, activity dependencies, process variations, and operational bottlenecks.
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Business process analysts seeking to discover, document, measure, and optimize actual project workflows.
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Project management office professionals responsible for governance standards, reporting, process assurance, and continuous improvement.
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Procurement and supply chain managers seeking to improve requisition, tendering, evaluation, purchase order, and supplier approval processes.
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Engineering and construction managers coordinating design reviews, technical submissions, work approvals, and site execution workflows.
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Contract administrators managing variations, claims, correspondence, payment certification, and contractual approval sequences.
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Quality assurance and compliance specialists examining process deviations, control effectiveness, audit trails, and procedural adherence.
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Data analysts and business intelligence professionals working with event logs, workflow metrics, operational dashboards, and performance reports.
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Digital transformation managers implementing process analytics, workflow automation, and system integration initiatives.
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Risk and assurance professionals identifying control gaps, recurring process failures, and deviations from approved procedures.
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Operations managers and organizational improvement specialists responsible for productivity, cycle-time reduction, and workflow redesign.
Course Objectives
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Explain the principles of process mining and distinguish process discovery, conformance checking, and process enhancement from traditional process mapping and business intelligence.
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Identify high-value project workflow improvement opportunities by evaluating operational pain points, process complexity, delivery risks, compliance requirements, and available event data.
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Define process cases, activities, timestamps, lifecycle events, and organizational attributes required to construct reliable event logs for project workflow analysis.
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Prepare and validate event data by addressing missing records, duplicate events, inconsistent identifiers, timestamp errors, and fragmented information from multiple systems.
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Interpret discovered process models and process variants to understand actual workflow execution, handovers, rework patterns, and deviations from intended procedures.
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Apply conformance checking techniques to compare observed project activities against approved process models, governance requirements, contractual obligations, and control standards.
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Measure workflow performance using cycle time, waiting time, throughput, rework frequency, bottleneck indicators, and activity-level performance metrics.
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Investigate the underlying causes of workflow delays, repeated approvals, unnecessary handovers, and process deviations using contextual analysis and structured root cause techniques.
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Develop evidence-based workflow redesign recommendations that consider operational feasibility, stakeholder responsibilities, automation opportunities, and compliance requirements.
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Establish a continuous improvement framework using baseline metrics, target performance indicators, implementation ownership, and post-change monitoring procedures.
Comprehensive Course Outline
Module 1: Fundamentals of Process Mining for Project Delivery
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Introduction to process mining concepts, event-based analysis, workflow reconstruction, and evidence-based operational improvement.
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Comparison of process mining with traditional process mapping, workflow monitoring, business intelligence, and process simulation.
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Identification of project workflows suitable for analysis, including procurement, engineering approvals, change control, payment certification, and quality management.
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Assessment of business objectives, expected benefits, process ownership, stakeholder requirements, and practical limitations of process mining initiatives.
Module 2: Project Workflow Mapping and Event Data Foundations
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Definition of process boundaries, case identifiers, activities, timestamps, lifecycle transitions, and organizational attributes.
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Identification of event data sources across project management systems, enterprise applications, document repositories, procurement platforms, and workflow tools.
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Design of event-log structures that represent individual process cases, activity sequences, responsible parties, and relevant process outcomes.
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Mapping of documented procedures and approved workflow models to support meaningful comparisons with actual execution data.
Module 3: Event Log Extraction and Data Preparation
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Extraction and consolidation of workflow records from multiple operational systems while maintaining traceability and data lineage.
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Data cleaning techniques for handling missing timestamps, duplicate events, inconsistent case identifiers, invalid sequences, and incomplete records.
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Transformation of system transactions and status changes into standardized activities with consistent naming conventions and event definitions.
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Validation of event-log completeness, timestamp reliability, activity ordering, case coverage, and suitability for process discovery and performance analysis.
Module 4: Process Discovery and Workflow Reconstruction
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Application of process discovery techniques to reconstruct actual workflow models from observed event sequences.
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Interpretation of process maps, activity transitions, decision points, parallel activities, loops, and alternative execution paths.
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Analysis of process variants to identify common execution patterns, unusual routes, excessive handovers, and repeated activities.
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Comparison of discovered process models with stakeholder expectations and documented procedures to establish an evidence-based operational baseline.
Module 5: Conformance Checking and Process Compliance
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Comparison of actual project workflows against approved procedures, standard operating models, governance requirements, and contractual controls.
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Identification of skipped approvals, out-of-sequence activities, unauthorized transitions, missing documentation, and other process deviations.
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Assessment of deviation frequency, operational significance, compliance exposure, and potential consequences for project delivery.
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Development of exception reports and investigation procedures that distinguish legitimate process variations from control failures.
Module 6: Workflow Performance and Bottleneck Analysis
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Measurement of end-to-end cycle time, activity duration, waiting time, throughput, and process completion performance.
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Identification of bottlenecks caused by approval queues, workload imbalances, missing information, resource constraints, and dependency failures.
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Analysis of rework loops, repeated reviews, resubmissions, and unnecessary handovers that increase administrative effort and delivery time.
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Segmentation of performance metrics by project, department, activity type, supplier, responsible role, and other relevant operational attributes.
Module 7: Root Cause Analysis and Workflow Improvement
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Application of structured root cause analysis to investigate recurring delays, process deviations, repeated tasks, and inefficient handovers.
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Examination of relationships between workflow characteristics, resource availability, information quality, approval complexity, and process outcomes.
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Prioritization of improvement opportunities using expected benefits, implementation effort, delivery risk, and organizational readiness.
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Design of workflow interventions involving role clarification, approval simplification, improved information requirements, and standardized operating procedures.
Module 8: Process Mining Across Key Project Functions
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Analysis of procurement workflows from requisition initiation through tender evaluation, approval, purchase order issuance, and supplier onboarding.
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Examination of engineering and technical workflows involving design submissions, document reviews, requests for information, and approval cycles.
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Evaluation of change control, contractual correspondence, claims review, invoice processing, and payment certification sequences.
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Assessment of quality assurance, inspection, nonconformance management, corrective actions, and project closeout workflows for delays and process deviations.
Module 9: Process Visualization, Reporting, and Governance
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Development of process maps, variant analyses, bottleneck visualizations, performance dashboards, and exception reports for decision-makers.
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Definition of workflow performance indicators, baseline measurements, target thresholds, reporting frequencies, and escalation responsibilities.
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Establishment of data governance, privacy controls, access permissions, process ownership, and auditability for workflow analytics.
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Communication of findings through evidence-based reports that connect process observations to business impacts and actionable recommendations.
Module 10: Implementation, Automation, and Continuous Improvement
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Development of a process mining implementation roadmap covering use-case selection, data access, technical preparation, and stakeholder engagement.
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Evaluation of workflow automation opportunities using evidence of repetitive tasks, predictable decision rules, and avoidable manual handovers.
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Design of pilot initiatives with measurable targets for cycle-time reduction, improved compliance, lower rework, and increased process transparency.
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Establishment of continuous monitoring procedures to verify improvement outcomes, detect performance deterioration, and refine workflows over time.
Training Approach
This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.
Tailor-Made Course
This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808
Training Venue
The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.
Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant
Certification
Participants will be issued with Upskill certificate upon completion of this course.
Airport Pickup and Accommodation
Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808
Terms of Payment:
Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.
