About the Course
Today’s manufacturing and operations leaders don’t just want reporting. They want trusted analytics that leads to action. Whether you are running a production line, managing maintenance, optimizing a warehouse, controlling quality, or planning supply chain operations, you are expected to show: what operational performance is today, what is driving losses and variation, what the risks and constraints are, what actions you recommend, and how you will prove improvement over time.
This course turns operational data from scattered spreadsheets and disconnected systems into a structured analytics workflow. You will learn to define KPIs, clean and structure manufacturing data, analyze downtime and quality losses, interpret trends and variation, link evidence to root causes, prioritize improvement initiatives, and create dashboards and reporting packs that decision-makers trust. It’s hands-on and outcome-driven, tailored for practitioners working under real constraints like limited data quality, system gaps, shift handovers, supply disruptions, and pressure to deliver results fast.
Target Audience
This course is tailored for professionals across various sectors who need to enhance operational performance using data analytics.
This course is designed for:
- Manufacturing managers, plant supervisors, and production leads
- Operations managers and continuous improvement teams
- Maintenance managers, planners, and reliability engineers
- Quality assurance and quality control professionals
- Supply chain, inventory, warehouse, and logistics professionals
- Industrial engineers and process improvement specialists
- EHS teams tracking safety and operational risk indicators
- Analysts supporting manufacturing performance reporting and planning
- ERP/MES/SCADA data users responsible for operational insights
- Anyone responsible for improving throughput, cost, quality, and delivery performance using data
Course Objectives
This course equips you to analyze, communicate, and improve manufacturing and operations performance using practical analytics tools, defensible methods, and KPI-driven decision logic.
By the end of this course, you'll be able to:
- Understand core manufacturing and operations analytics concepts and why they matter for performance and cost
- Define and structure operational KPIs (OEE, yield, scrap, downtime, cycle time, OTIF)
- Collect, clean, and prepare production, maintenance, and quality data for analysis
- Analyze downtime, defects, and losses using practical root-cause workflows
- Interpret trends, variation, and performance drivers using simple analytics methods
- Prioritize improvement actions using impact, feasibility, and constraint-based thinking
- Build dashboards and reporting packs that support daily, weekly, and monthly operations reviews
- Communicate findings clearly to leadership, teams, and cross-functional stakeholders
Requirements & Prerequisites
Participants should have a basic understanding of manufacturing operations and familiarity with spreadsheets and data entry. Some experience with operational performance metrics is beneficial but not required.
Professional and Organizational Impact
When you manage operations with evidence, you become a trusted performance leader who drives measurable improvement.
As a participant, you will benefit by:
- Improve your ability to translate operational data into clear decisions and actions
- Gain confidence in KPI definition, analysis, and performance storytelling
- Reduce guesswork in troubleshooting downtime, defects, and delivery issues
- Strengthen your ability to defend improvement priorities with evidence
- Enhance your credibility in operations reviews, audits, and management meetings
- Build practical skills for dashboards, reporting, and continuous improvement tracking
- Position yourself as a results-driven professional who improves cost, quality, and reliability
Organizations that use analytics in manufacturing and operations reduce losses, improve reliability, and build resilient performance.
Your organization will benefit from:
- Earlier detection of performance decline and emerging risks
- Reduced downtime, scrap, rework, and quality-related losses
- Stronger throughput, productivity, and capacity utilization
- Better maintenance planning and asset reliability outcomes
- Improved inventory control and reduced working capital pressure
- Faster alignment and buy-in for improvement initiatives across teams
- More transparent and defensible operational reporting for leadership and audits
Training Methodology
This is a practical, outcome-driven course designed to turn manufacturing and operations data into confident action and measurable performance improvement.
Methodology includes:
- Guided exercises to build KPI trees and operational dashboards from scratch
- Hands-on downtime and quality-loss analytics using realistic datasets
- Data cleaning and structuring drills for production and maintenance data
- Scenario-based root cause analysis (RCA) and corrective action planning
- Group work comparing improvement options under constraints
- Case studies across manufacturing, logistics, utilities, and industrial services
- Reflection prompts that challenge current reporting habits and improve decision discipline
Upcoming Sessions
Next available dates worldwide
Certification
Recognized credentials that advance your career
Participants who complete the Data Analytics for Manufacturing and Operations 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.
