Data and Digital Tech Optimization for Field Operations - Case Study

Overview

Discover how SK Rentacar leverages data analytics and digital technology to optimize Jeju car rental operations, predict market demands, and implement automated service processes for enhanced business efficiency.

Syllabus

• Introduction to Course
Course objectives and expectations
Overview of SK Rentacar and Jeju car rental market
• Fundamentals of Data Analytics in Operations
Introduction to data analytics
Key metrics for car rental operations
• Case Study: SK Rentacar's Data Strategy
Data collection methods
Data management and quality assurance
• Market Demand Prediction
Tools and techniques for demand forecasting
Case example: Predictive models used by SK Rentacar
• Digital Technology in Field Operations
Overview of digital transformation
Tools and platforms deployed by SK Rentacar
• Automation of Service Processes
Introduction to process automation
Examples of automated services and their impact
• Enhancing Business Efficiency Through Technology
Key performance indicators (KPIs) in optimization
Cost-benefit analysis of digital investments
• Implementing a Data-Driven Culture
Skills and mindsets for leveraging data
Change management strategies
• Case Study Analysis and Discussion
In-depth analysis of SK Rentacar's strategies
Lessons learned and best practices
• Practical Workshops
Hands-on exercises with data analytics tools
Scenario-based discussion on optimization strategies
• Final Project
Development of a strategic plan for a fictional car rental company
Presentation of project findings and solutions
• Course Conclusion
Summary of key learnings
Q&A and feedback session

Subjects

Data Science