Course Introduction
Occupational Health and Safety Performance Analytics Training Course equips professionals with practical capabilities to collect, analyze, interpret, and communicate workplace health and safety data for stronger risk management and organizational performance. Effective safety management increasingly depends on moving beyond basic incident counts toward evidence-based analysis of hazards, exposures, near misses, unsafe conditions, corrective actions, inspections, workforce behaviours, and leading indicators that can support preventive decision-making.
Reliable occupational health and safety analytics requires information from multiple sources, including incident and accident records, near-miss reports, hazard registers, workplace inspections, risk assessments, safety observations, training records, occupational health monitoring, workers' compensation information, maintenance systems, emergency records, and workforce databases. Participants will learn how to improve data quality, standardize safety classifications, integrate relevant datasets, and identify gaps that may affect the accuracy and usefulness of safety performance reporting.
The course examines safety performance across the workplace risk management lifecycle, from hazard identification and risk assessment through prevention, incident response, investigation, corrective action, verification, and continuous improvement. Participants will explore how to analyze injury and illness patterns, lost-time events, near misses, hazard reports, inspection findings, corrective-action closure, exposure indicators, safety training, and other measures to identify recurring risks and opportunities for preventive intervention.
A central focus is placed on developing meaningful safety performance indicators and management intelligence. Participants will learn how to distinguish leading and lagging indicators, establish safety dashboards and scorecards, conduct trend and frequency analysis, compare performance across sites and operational units, and investigate significant changes in safety outcomes. The course emphasizes interpretation within operational context rather than relying on isolated metrics that may conceal reporting behaviour, workforce exposure, or differences in working conditions.
Emerging technologies are transforming occupational safety analytics through artificial intelligence, predictive analytics, Internet of Things sensors, wearable devices, computer vision, connected equipment, mobile inspection applications, geospatial analytics, and automated reporting. Participants will explore how these technologies can support hazard detection, exposure monitoring, preventive maintenance, risk prioritization, and real-time safety intelligence while considering privacy, surveillance, cybersecurity, data quality, algorithmic bias, and appropriate human oversight.
By the end of the course, participants will be better equipped to establish robust safety analytics processes, identify patterns and emerging risks, evaluate prevention activities, monitor corrective actions, and communicate evidence-based findings to management and operational teams. The practical approach supports stronger occupational health and safety governance, proactive risk management, incident prevention, resource prioritization, compliance monitoring, and continuous improvement of workplace safety performance.
Duration
5 days
Who Should Attend
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Occupational health and safety managers responsible for workplace safety performance and risk management.
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Health and safety officers involved in incident reporting, inspections, hazard identification, and corrective-action monitoring.
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Safety professionals seeking stronger analytical capabilities for interpreting occupational safety performance data.
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Occupational health practitioners working with workplace health surveillance and employee exposure information.
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Risk managers responsible for operational risk assessment, controls, incident analysis, and risk monitoring.
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Compliance professionals monitoring occupational health and safety requirements and organizational controls.
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Human resource managers involved in employee safety, absence, workplace incidents, and occupational health programmes.
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Operations managers responsible for safety performance across facilities, projects, production environments, or field operations.
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Internal auditors reviewing safety management systems, controls, incidents, and organizational risk indicators.
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Environmental, health, and safety specialists developing performance dashboards and management reporting.
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Incident investigators and safety coordinators analyzing accident, near-miss, hazard, and investigation information.
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Contractors and supplier management professionals monitoring third-party workplace safety performance.
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Workforce risk and insurance professionals analyzing occupational injury, claims, exposure, and safety cost information.
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Consultants and advisers supporting occupational health, safety analytics, risk management, and safety improvement programmes.
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Senior managers and executives seeking reliable safety intelligence to strengthen prevention, governance, workforce protection, and operational performance.
Course Objectives
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Develop a comprehensive understanding of occupational health and safety performance analytics and its role in proactive workplace risk management.
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Apply practical techniques for collecting, cleaning, validating, classifying, and integrating occupational health and safety datasets.
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Analyze incidents, injuries, illnesses, near misses, hazards, inspections, observations, and corrective actions to identify meaningful patterns.
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Develop balanced leading and lagging safety indicators that provide useful insight into prevention activities and workplace outcomes.
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Use trend analysis, frequency analysis, rate calculations, segmentation, and comparative methods to investigate safety performance variations.
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Build safety dashboards, scorecards, visualizations, and management reports that communicate risks, trends, exceptions, and corrective priorities.
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Evaluate safety programmes, training initiatives, inspections, risk controls, and corrective actions using evidence-based performance measures.
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Identify emerging workplace risks by analyzing exposure patterns, operational conditions, workforce characteristics, locations, activities, and recurring events.
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Explore artificial intelligence, predictive analytics, IoT, wearable technology, computer vision, and other emerging technologies for safety intelligence.
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Strengthen responsible safety analytics through data governance, worker privacy, cybersecurity, ethical monitoring, transparency, and appropriate human oversight.
Comprehensive Course Outline
Module 1: Foundations of Occupational Health and Safety Performance Analytics
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Principles, scope, and strategic importance of occupational health and safety analytics for workplace risk and prevention management.
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Safety performance frameworks, leading indicators, lagging indicators, risk indicators, prevention measures, and outcome-based performance monitoring.
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Connecting safety analytics with organizational strategy, operational performance, workforce protection, risk management, compliance, and continuous improvement.
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Common safety analytics challenges involving underreporting, inconsistent classifications, exposure differences, data quality, denominator selection, and interpretation.
Module 2: Safety Data Collection, Quality, Classification, and Integration
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Incident reports, near-miss records, hazard registers, inspection findings, risk assessments, observations, training records, and occupational health information.
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Safety data quality assessment covering completeness, accuracy, consistency, timeliness, duplication, classification, reporting practices, and missing information.
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Integrating safety data with workforce, attendance, maintenance, production, contractor, location, equipment, and operational information.
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Safety taxonomies, event classifications, injury coding, hazard categories, data dictionaries, metadata, documentation, and analytical data workflows.
Module 3: Spreadsheet, Database, GIS, and Business Intelligence Analytics
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Spreadsheet techniques for safety data preparation, validation, aggregation, rate calculations, trend analysis, pivot analysis, and exception reporting.
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Database concepts for organizing incidents, hazards, inspections, observations, corrective actions, workers, locations, equipment, and safety activities.
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Business intelligence dashboards for safety KPIs, incident trends, risk categories, corrective actions, inspection performance, and operational comparisons.
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Geographic information systems and visual analytics for identifying spatial patterns in incidents, hazards, exposures, and workplace safety performance.
Module 4: Incident, Injury, Illness, and Near-Miss Analytics
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Analysis of occupational incidents, injuries, illnesses, lost-time events, restricted work cases, first-aid cases, and other relevant safety outcomes.
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Near-miss and hazard-event analytics for identifying potential consequences, recurring circumstances, contributing factors, and preventive opportunities.
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Frequency, severity, incidence, lost-time, and other safety rate calculations with appropriate workforce exposure denominators and contextual interpretation.
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Temporal and operational analysis of safety events by shift, activity, task, equipment, location, workforce group, season, and other relevant dimensions.
Module 5: Hazard, Risk, Inspection, and Corrective-Action Analytics
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Hazard identification analytics covering hazard categories, recurrence, severity, exposure, control effectiveness, and unresolved workplace risk.
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Risk assessment analytics for prioritizing hazards according to likelihood, consequence, exposure, control status, and residual risk.
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Workplace inspection and safety observation analytics covering inspection completion, findings, recurring deficiencies, responsible areas, and closure performance.
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Corrective and preventive action analytics for monitoring overdue actions, closure rates, recurring findings, verification, effectiveness, and management accountability.
Module 6: Safety Training, Workforce Exposure, and Prevention Performance Analytics
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Safety training analytics covering participation, completion, competency assessment, refresher requirements, certification status, and workforce coverage.
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Workforce exposure analytics examining work activities, hours worked, hazardous tasks, occupational exposures, equipment use, and operational conditions.
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Evaluating preventive programmes, safety campaigns, toolbox meetings, behavioural initiatives, engineering controls, and other intervention activities.
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Linking prevention indicators with safety outcomes while recognizing attribution limitations and the influence of operational and workforce factors.
Module 7: Geographic, Workforce Segment, Contractor, and Operational Risk Intelligence
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Safety performance analysis across sites, facilities, departments, projects, locations, job categories, shifts, activities, and operational units.
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Identifying differences in safety experience across workforce segments while applying appropriate privacy, confidentiality, and statistical safeguards.
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Contractor and supplier safety analytics covering incident rates, inspection results, corrective actions, training, compliance indicators, and operational exposure.
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Risk intelligence for prioritizing locations, activities, equipment, workforce groups, and recurring hazards requiring deeper investigation or preventive action.
Module 8: AI, Predictive Safety Analytics, IoT, and Emerging Technologies
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Artificial intelligence, machine learning, and predictive analytics applications for identifying safety patterns, emerging risks, and prevention priorities.
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Internet of Things sensors, connected equipment, wearable technologies, environmental monitoring, and real-time occupational exposure analytics.
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Computer vision, mobile safety applications, automated inspections, geospatial intelligence, and intelligent reporting technologies for workplace risk management.
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Responsible adoption of emerging safety technologies, including validation, explainability, worker privacy, cybersecurity, human oversight, and technology limitations.
Module 9: Safety Data Governance, Privacy, Cybersecurity, and Responsible Analytics
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Occupational safety data governance frameworks covering ownership, access controls, retention, quality standards, accountability, documentation, and auditability.
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Worker privacy and confidentiality considerations for injury records, health information, exposure data, wearable technology, monitoring systems, and safety investigations.
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Cybersecurity risks affecting safety databases, mobile applications, connected equipment, IoT devices, dashboards, cloud platforms, and integrated systems.
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Ethical interpretation and communication of safety analytics, including transparency, responsible worker monitoring, avoidance of harmful profiling, and evidence-based decision-making.
Module 10: Integrated Occupational Health and Safety Performance Analytics Project
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Designing an end-to-end safety analytics framework using realistic incident, hazard, inspection, workforce, training, exposure, and corrective-action datasets.
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Developing a safety performance dashboard containing leading indicators, lagging indicators, risk measures, incident trends, inspection results, and action-closure metrics.
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Interpreting safety findings to identify recurring hazards, operational risk patterns, prevention gaps, emerging concerns, and management priorities.
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Presenting an evidence-based occupational safety performance report with corrective recommendations, prevention priorities, monitoring measures, and continuous improvement actions.
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.
