Data-Driven Decision Making in Retail
( 30 Modules )

Module #1
Introduction to Data-Driven Decision Making
Overview of the importance of data-driven decision making in retail and course objectives

Module #2
Understanding Retail Data
Types of retail data, data sources, and data quality considerations

Module #3
Setting Up a Data-Driven Decision Making Framework
Defining business objectives, identifying key performance indicators (KPIs), and establishing a data governance structure

Module #4
Retail Analytics Fundamentals
Introduction to descriptive, predictive, and prescriptive analytics in retail

Module #5
Data Visualization for Retail
Best practices for data visualization, dashboard design, and reporting

Module #6
Customer Segmentation and Profiling
Using clustering, RFM analysis, and other techniques to understand customer behavior and preferences

Module #7
Customer Purchase Behavior Analysis
Analyzing transactional data to understand customer purchase patterns and trends

Module #8
Marketing Mix Optimization
Using data to optimize marketing campaigns, including budget allocation and attribution modeling

Module #9
Pricing and Inventory Optimization
Using data to optimize pricing strategies and inventory management

Module #10
Supply Chain Analytics
Using data to optimize supply chain operations, including forecasting and inventory management

Module #11
Store Operations Analytics
Using data to optimize store operations, including labor scheduling and inventory management

Module #12
Omnichannel Retailing Analytics
Analyzing customer behavior across online and offline channels

Module #13
Competitor Analysis
Using data to analyze competitor strengths, weaknesses, and market positioning

Module #14
Sales Forecasting and Demand Planning
Using statistical models and machine learning algorithms for sales forecasting and demand planning

Module #15
Product Lifecycle Management Analytics
Analyzing product performance and optimizing product lifecycles using data

Module #16
Category Management Analytics
Using data to optimize category management, including assortment planning and inventory management

Module #17
Store Location Analytics
Using data to optimize store location decisions, including site selection and network optimization

Module #18
A/B Testing and Experimentation
Designing and executing A/B tests to measure the impact of business decisions

Module #19
Using Machine Learning in Retail
Introduction to machine learning concepts and applications in retail, including recommendation systems and demand forecasting

Module #20
Big Data and IoT in Retail
Using big data and IoT technologies to gain insights and optimize retail operations

Module #21
Data Storytelling in Retail
Communicating insights and recommendations to stakeholders using data storytelling techniques

Module #22
Building a Data-Driven Culture in Retail
Strategies for building a data-driven culture, including change management and talent development

Module #23
Data Governance and Ethics in Retail
Ensuring data quality, security, and compliance with ethical standards in retail

Module #24
Case Studies in Data-Driven Decision Making
Real-world examples of data-driven decision making in retail

Module #25
Capstone Project:Developing a Data-Driven Decision Making Framework
Applying course concepts to a real-world retail scenario

Module #26
Advanced Retail Analytics Topics
Exploring advanced analytics topics, including network analysis and advanced machine learning techniques

Module #27
Retail Analytics Tools and Technologies
Overview of popular retail analytics tools and technologies, including data visualization platforms and cloud-based analytics services

Module #28
Data Engineering for Retail
Designing and implementing data pipelines and architectures for retail analytics

Module #29
Retail Analytics for Sustainability
Using data and analytics to drive sustainability initiatives in retail

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Data-Driven Decision Making in Retail career

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Data-Driven Decision Making in Retail ( 30 Modules )

Data-Driven Decision Making in Retail
( 30 Modules )