Retail and E-Commerce Business Intelligence Analytics Training Course: Driving Sales, Customer Insights, and Operational Excellence

Introduction

In the competitive retail and e-commerce landscape, businesses generate massive amounts of data from customer transactions, online interactions, inventory management, and supply chain operations. Business Intelligence (BI) analytics empowers retail and e-commerce professionals to transform this data into actionable insights that drive sales, improve customer experiences, and optimize operational efficiency. By leveraging advanced analytics, interactive dashboards, and predictive modeling, organizations can understand customer behavior, forecast demand, and make informed strategic decisions.

This training course equips participants with practical skills to apply Business Intelligence analytics in retail and e-commerce contexts. Through real-world examples, hands-on exercises, and case studies, learners will explore customer analytics, sales forecasting, inventory optimization, and integration of BI platforms. By the end of the course, participants will be able to implement BI solutions that enhance revenue growth, improve operational efficiency, and deliver exceptional customer experiences.

Duration: 10 Days

Target Audience

  • Retail and e-commerce analysts
  • Business Intelligence professionals
  • Marketing and customer experience managers
  • Data analysts working with retail or e-commerce datasets
  • Decision-makers seeking actionable insights for business growth

10 Objectives

  1. Understand the fundamentals of retail and e-commerce analytics
  2. Explore BI tools and techniques for customer, sales, and inventory insights
  3. Design data models and reporting frameworks for retail operations
  4. Implement ETL/ELT pipelines for retail and e-commerce data
  5. Apply predictive analytics for sales forecasting and demand planning
  6. Integrate BI dashboards for real-time operational and marketing insights
  7. Ensure data quality, governance, and compliance in analytics
  8. Optimize BI performance for large-scale retail datasets
  9. Examine industry best practices and case studies
  10. Develop and deploy a comprehensive retail and e-commerce BI project

15 Course Modules

Module 1: Introduction to Retail and E-Commerce BI

  • Overview of BI in retail and online commerce
  • Key benefits for customer insights and operational efficiency
  • Core components of retail BI systems
  • Emerging trends in e-commerce analytics
  • Data-driven decision-making in retail

Module 2: Retail and E-Commerce Data Sources

  • Point-of-sale (POS) and transaction data
  • Customer behavior and engagement data
  • Supply chain and inventory management data
  • Web analytics and social media insights
  • Data quality and integration challenges

Module 3: Data Modeling for Retail Analytics

  • Star and snowflake schemas for retail datasets
  • Fact and dimension tables for sales and customer analytics
  • Normalization vs denormalization for reporting
  • Designing models for KPIs and metrics
  • Optimizing models for performance

Module 4: ETL/ELT Processes in Retail BI

  • Extracting data from POS, online, and operational sources
  • Transforming data for analysis readiness
  • Loading into warehouses or BI platforms
  • Automating workflows for efficiency
  • Monitoring and troubleshooting pipelines

Module 5: Customer Analytics and Segmentation

  • Customer lifetime value analysis
  • RFM (Recency, Frequency, Monetary) segmentation
  • Behavioral and demographic profiling
  • Personalization and targeted marketing
  • Measuring engagement and retention metrics

Module 6: Sales and Revenue Analytics

  • Monitoring sales trends and performance
  • Product performance analysis
  • Revenue forecasting and seasonal analysis
  • KPI tracking for sales growth
  • Benchmarking and trend identification

Module 7: Inventory and Supply Chain Analytics

  • Stock level monitoring and optimization
  • Demand forecasting for inventory management
  • Supplier and logistics performance tracking
  • Minimizing stockouts and overstock scenarios
  • Data-driven supply chain decisions

Module 8: Marketing and Campaign Analytics

  • Evaluating digital marketing campaigns
  • Attribution modeling and ROI analysis
  • Social media and web analytics integration
  • Personalization strategies and A/B testing
  • Reporting on campaign effectiveness

Module 9: Real-Time Retail Analytics

  • Streaming data from e-commerce platforms
  • Low-latency dashboards for sales and inventory
  • Event-driven alerts and notifications
  • Operational monitoring and decision support
  • Automated reporting for executives

Module 10: Advanced Predictive Analytics

  • Forecasting sales and demand trends
  • Customer churn prediction
  • Product recommendation systems
  • Predictive modeling for promotions and campaigns
  • Integration with BI dashboards

Module 11: Cloud and Hybrid Retail BI Architectures

  • Cloud-based storage and analytics solutions
  • Hybrid deployments for data integration
  • Scalability and cost-efficiency considerations
  • Security and compliance in cloud analytics
  • Platform selection and deployment best practices

Module 12: Data Governance and Compliance

  • Ensuring data accuracy and consistency
  • Access control and user management
  • Privacy regulations and compliance
  • Audit trails and reporting standards
  • Governance frameworks for retail BI

Module 13: Performance Optimization

  • Query optimization for large retail datasets
  • Reducing latency in reporting and dashboards
  • Resource allocation and load balancing
  • Scalability for peak demand periods
  • Monitoring and performance tuning

Module 14: Industry Case Studies and Applications

  • E-commerce sales and marketing analytics
  • Retail chain operational optimization
  • Customer experience enhancement
  • Inventory and supply chain efficiency
  • Benchmarking against industry standards

CERTIFICATION

  • Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

  • Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

  • Airport Pick Up is provided by the institute. Accommodation is arranged upon request

TERMS OF PAYMENT

Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com

For More Details call: +254-114-087-180

 

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Retail And E-commerce Business Intelligence Analytics Training Course: Driving Sales, Customer Insights, And Operational Excellence in Brunei Darussalam
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