Course Overview
Retail and e-commerce generate vast amounts of data that, when analyzed effectively, drive profitability and customer loyalty. This Retail and E-Commerce Data Analytics Training Course introduces participants to data-driven techniques for improving marketing, sales, operations, and customer engagement.
Participants will explore customer segmentation, personalization strategies, sales forecasting, and digital performance analytics. Real-world case studies and hands-on exercises will show how global leaders in retail and e-commerce use data to deliver competitive advantage and long-term success.
By the end of the course, attendees will be prepared to apply data analytics to optimize customer journeys, improve business performance, and create innovative retail strategies.
Course Benefits
Analyze customer behavior and purchasing patterns
Build accurate sales forecasts with data models
Improve personalization and targeting strategies
Optimize digital marketing and campaign performance
Drive business growth with data-driven insights
Course Objectives
Explore analytics applications in retail and e-commerce
Apply customer segmentation and predictive analytics
Use data to optimize pricing, promotions, and sales
Build strategies for personalization and loyalty
Analyze marketing and digital performance metrics
Integrate AI and ML into retail and e-commerce strategies
Ensure ethical use of customer data and privacy compliance
Training Methodology
This course blends lectures, industry case studies, hands-on labs, and group discussions. Participants will analyze real-world retail and e-commerce datasets to develop actionable insights.
Target Audience
Retail and e-commerce managers
Marketing and sales professionals
Data analysts and BI specialists
Business leaders driving digital transformation
Target Competencies
Retail and e-commerce analytics
Customer segmentation and personalization
Sales forecasting and optimization
Digital performance measurement
Course Outline
Unit 1: Introduction to Retail and E-Commerce Analytics
Role of data in retail and online business
Key metrics for retail and e-commerce success
Benefits and challenges of digital analytics
Case studies of analytics-driven retail strategies
Unit 2: Customer Behavior and Segmentation
Understanding customer journeys in retail and online shopping
Applying behavioral and demographic segmentation
Predictive analytics for customer insights
Practical segmentation exercise
Unit 3: Personalization and Loyalty Strategies
Using analytics to design personalized campaigns
AI-driven recommendation systems
Customer loyalty programs powered by data
Case studies in personalization
Unit 4: Sales Forecasting and Optimization
Predictive modeling for sales performance
Pricing and promotion optimization with data
Inventory and demand forecasting
Real-world retail forecasting examples
Unit 5: Digital Performance and Future of Retail Analytics
Measuring digital campaigns and online performance
E-commerce dashboards and KPIs
Ethical data practices and privacy compliance
Future trends in retail and e-commerce analytics
Ready to drive growth with retail and e-commerce data?
Join the Retail and E-Commerce Data Analytics Training Course with EuroQuest International Training and transform insights into competitive advantage.
The Retail and E-Commerce Data Analytics Training Courses in Jakarta provide professionals with an essential foundation in using data-driven insights to enhance retail performance, optimize digital commerce strategies, and strengthen customer engagement. Designed for data analysts, marketing specialists, retail managers, e-commerce professionals, and business strategists, these programs explore the analytical tools and methodologies needed to understand customer behavior, streamline operations, and drive profitable growth in highly competitive markets. Participants gain practical skills in transforming raw data into meaningful insights that inform strategic decision-making.
Throughout the specialization, participants examine key topics within retail and e-commerce analytics, including customer segmentation, sales forecasting, basket analysis, pricing optimization, and website performance metrics. The courses highlight how digital customer interactions—such as browsing patterns, clickstreams, and purchase histories—can be analyzed to personalize customer journeys and refine marketing strategies. Hands-on exercises and case studies allow attendees to apply analytical models, evaluate performance dashboards, and assess omnichannel behavior to improve both in-store and online experiences.
These data analytics training programs in Jakarta balance theoretical concepts with real-world applications relevant to modern retail and digital commerce environments. The curriculum emphasizes the use of advanced analytics tools, data visualization techniques, and performance measurement frameworks. Participants also explore the role of AI and machine learning in enhancing recommendation systems, predicting demand, monitoring inventory, and optimizing supply chain operations across integrated retail networks.
Attending these training courses in Jakarta provides professionals with access to expert-led instruction and a vibrant retail and digital marketplace. Jakarta’s rapidly expanding e-commerce ecosystem offers a dynamic backdrop for analyzing consumer trends and exploring innovative retail technologies. By the end of the program, participants will be equipped to design data-driven retail strategies, enhance customer engagement, and support sustainable business growth through robust and actionable analytics.