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The Retail and E-Commerce Data Analytics course in Jakarta equips professionals with the skills to analyze retail and e-commerce data, driving sales and enhancing customer experiences.

Jakarta

Fees: 5900
From: 01-06-2026
To: 05-06-2026

Retail and E-Commerce Data Analytics

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.

Retail and E-Commerce Data Analytics

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.