DATA ANALYSIS AND DATA VISUALIZATION IN AUTOMOTIVE INDUSTRY
“Transforming Raw Data into Insightful Visuals to Drive Innovation, Efficiency & Quality in Automotive Operations”
Course Schedule
| Date | Venue | Fees (Face-to-Face) |
|---|---|---|
| 24 – 28 Mar 2025 | London, UK | USD 3495 per delegate |
Course Introduction
The automotive industry is undergoing rapid transformation—powered by automation, connectivity, and data. Engineering, manufacturing, quality control, logistics, and marketing all generate massive amounts of structured and unstructured data. To compete in this evolving environment, professionals must be able to extract insights, create visual narratives, and support real-time decision-making using data analytics.
This 5-day intensive course bridges the gap between technical data handling and business insight generation. It introduces key data analysis techniques and cutting-edge visualization tools that support strategic and operational excellence across the automotive value chain.
Course Objectives
By the end of this course, participants will be able to:
• Understand the role of data analytics and visualization in automotive environments
• Analyze automotive operational, engineering, and customer datasets using practical tools
• Build interactive dashboards and dynamic charts for real-time decision support
• Use data storytelling to communicate findings to technical and non-technical audiences
• Apply insights to improve quality, supply chain efficiency, customer satisfaction, and product development
Why you Should Attend
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This program is designed for:
• Data analysts and engineers in automotive or manufacturing sectors
• Quality, operations, and supply chain professionals
• R&D and product development staff
• Marketing and customer insights teams
• Anyone looking to apply data tools to real-world automotive problems
Intended Audience
Key competencies that will be developed include:
• Data cleaning, transformation, and analysis
• Visualization design and storytelling principles
• Dashboard development using Power BI and Excel
• Interpretation of technical trends, anomalies, and correlations
• Reporting to both technical and management audiences
Individual Benefits
Upon completing the training course, participants will demonstrate:
• More accurate and timely data-driven decisions
• Improved quality control and root cause analysis
• Enhanced visibility into operational and customer performance
• Reduced downtime and cost through predictive analytics
• Better alignment of technical reporting with business strategy
Organization Benefits
Upon completing the training course, participants will demonstrate:
• More accurate and timely data-driven decisions
• Improved quality control and root cause analysis
• Enhanced visibility into operational and customer performance
• Reduced downtime and cost through predictive analytics
• Better alignment of technical reporting with business strategy
Instructional Methdology
The course follows a blended learning approach combining theory with practice:
• Strategy Briefings – Data strategy, analytics maturity, and visualization frameworks
• Case Studies – Automotive examples in quality, supply chain, and customer data
• Hands-On Workshops – Dashboard development, data transformation, chart design
• Peer Exchange – Real-world use cases and cross-department applications
• Tools – Excel, Power BI, optional: Python (Pandas), R (ggplot2), data modeling templates
Course Outline
Training Hours: 07:30 AM – 03:30 PM
Daily Format: 3–4 Learning Modules | Coffee Breaks: 09:30 & 11:15 | Lunch Break: 01:00 – 02:00
Day 1: Data Foundations and Automotive Context
Module 1: Automotive Data Ecosystem (07:30 – 09:30)
• Sources of data across automotive functions
• Structured vs. unstructured data
• Real-time vs. historical datasets
Module 2: Data Cleaning and Preparation (09:45 – 11:15)
• Removing duplicates, handling missing data
• Data normalization and transformation
• Excel and Power Query basics
Module 3: Workshop – Preparing Automotive Data (11:30 – 01:00)
• Data preprocessing for analytics and dashboards
Day 2: Analysis and Exploration Techniques
Module 4: Descriptive and Diagnostic Analysis (07:30 – 09:30)
• Trend, variance, and correlation analysis
• Pareto charts, scatter plots, and control charts
• Drill-down techniques in Power BI
Module 5: Root Cause and KPI Monitoring (09:45 – 11:15)
• Automotive quality metrics and defect tracking
• Cycle time, downtime, yield, and OEE analysis
• Linking shop-floor data to performance
Module 6: Workshop – Analyzing Plant or Vehicle Data (11:30 – 01:00)
• Live walkthrough of analysis using Excel and Power BI
Day 3: Data Visualization and Dashboarding
Module 7: Visualization Principles and Best Practices (07:30 – 09:30)
• Choosing the right chart types
• Avoiding clutter, distortion, and misinterpretation
• Layout, color, and labeling for clarity
Module 8: Interactive Dashboards in Power BI (09:45 – 11:15)
• Filters, slicers, and interactivity
• Combining multiple views into single reports
• Real-time data feeds and refresh cycles
Module 9: Workshop – Building a Dashboard (11:30 – 01:00)
• Step-by-step development of a plant-level performance dashboard
Day 4: Data-Driven Applications in Automotive
Module 10: Predictive and Prescriptive Techniques (07:30 – 09:30)
• Introduction to regression and forecasting
• Using historical trends for maintenance or demand planning
• Applying analytics to warranty and customer feedback
Module 11: Customer and Market Analytics (09:45 – 11:15)
• Segmentation and behavior patterns
• Voice of customer, satisfaction, and NPS tracking
• Marketing data dashboards
Module 12: Workshop – Applying Predictive Models (11:30 – 01:00)
• Optional use of Excel Solver, Python, or R for forecasting
Day 5: Presentation and Communication of Insights
Module 13: Data Storytelling Techniques (07:30 – 09:30)
• Building narratives from analysis
• Framing insights for technical vs. non-technical audiences
• Communicating uncertainty and assumptions
Module 14: Final Project & Dashboard Presentation (09:45 – 01:00)
• Group-based project: Create a full dashboard and analysis
• Present findings to peers and facilitators
Certification
Participants will receive a Certificate of Completion in Data Analysis and Data Visualization in the Automotive Industry, validating their capability to transform complex data into actionable insights through effective analysis and visual storytelling.