Welcome to Amazon Fashion Analytics Dashboard
This comprehensive analytics platform provides business intelligence insights for sales directors and business intelligence professionals in the e-commerce fashion industry. Our analysis is based on extensive data from the Olist dataset, focusing on fashion products and sales patterns.
Key Features
This dashboard offers a complete suite of statistical analyses to help you make data-driven decisions:
Descriptive Statistics
Explore product categories, order status, payment types, customer distribution, review scores, and price distributions.
View AnalysisInferential Statistics
Examine confidence intervals and hypothesis tests for order values across different payment types and customer states.
View AnalysisCorrelation & Regression
Understand relationships between product dimensions, price vs. freight, and installments vs. order value.
View AnalysisANOVA
Compare means across different payment types and product categories using statistical analysis of variance.
View AnalysisPrincipal Component Analysis
Discover the main dimensions of variation in the dataset through dimensionality reduction techniques.
View AnalysisClustering Analysis
Identify natural groupings of products and orders to inform inventory and marketing strategies.
View AnalysisNormality Tests
Examine distribution patterns of key variables to guide appropriate statistical methods.
View AnalysisTime Series Analysis
Analyze temporal patterns in order volumes and delivery times to optimize operations.
View AnalysisBusiness Problems & Solutions
Our comprehensive analysis has identified key business challenges and provided data-driven solutions to optimize your e-commerce operations.
Visit our Overview page to explore:
- Inventory Management Inefficiencies
- Pricing Strategy Optimization
- Delivery Time Inconsistencies
- Payment Method Optimization
- Temporal Demand Fluctuations
Each challenge is paired with actionable solutions and expected business impact metrics.