Publisher's Synopsis
These lessons and case studies are part of an on-going curriculum and simulations development project between the College of Saint Scholastica's School of Business and Technology (SBT) and Learning-Games.net (learningames.net). In general, these case studies are designed to help students explore the field of e-commerce analytics through case simulations and role-playing scenarios in combination with using a queuing theory model and both continuous, as well as discrete-event simulations focusing on real-life systems and quantitative analytics found in e-commerce business strategies.
Through the lessons and case studies presented in this collection, students will explore e-commerce frameworks and metrics for collecting, measuring, analyzing, visualizing, dashboarding, optimizing, personalizing, and automating web-based sales and customer data by applying modern analytics in e-commerce for new enterprises.
Specific topics include:
- Identifying key E-Commerce Metrics
- Google Analytics Tools
- Dashboard Elements - Components & Data Models
- Behavior Elements - Speed, Search Terms & Experiments
- Content Analysis - Statistics, Tracking Events & Exit Pages
- Audience Elements - Demographics, Technology, New/Returning
- Bounce Rates & Engagement
- Data Filters
- Tracking Revenues through Links, Adwords, Adsense, ROIs & PPCs
- Identifying Industry Benchmarks and Stats for New E-Commerce Enterprises
In short, this work is designed to help e-commerce students learn how to create value with analytics and data science by improving business performance, increasing revenue, reducing cost, boosting profitability, and increasing customer satisfaction.
