Superstore #1
Description
Introduction
- Analyzed the Superstore dataset to uncover sales trends and patterns
- Dataset spans multiple years, regions, and categories
Executive Summary
- Total sales: $2,297,200.86
- Total transactions: 5,009
- Peak sales month: November
- Highest sales day: Tuesday
- Key customer segment: Consumer
Overview
- Top 10 states by sales: California, Texas, New York, ...
- Bottom 10 states by sales: North Dakota, West Virginia, ...
Trends and Patterns
- Sales trend: November highest, January lowest
- Customer segment ranking: Consumer peaks in November
- Average sales by day of week: Tuesday highest, Saturday lowest
Sales and Transactions Report by Location
- Top 10 states by sales: California, ...
- Transactions by day of week: Monday highest, Wednesday lowest
Advanced Sales Exploration and Analysis
- Decomposition tree: Standard Class ship mode dominates in 2015
- Key influencers: Average categories influencing sales
Conclusions
- Seasonal trend: November peak sales
- Consistent demand: Home Office segment
- Optimized sales strategies: Tuesdays and Mondays
Recommendations
- Targeted marketing campaigns for Consumer segment in November
- Consistent marketing efforts for Home Office segment
- Optimized sales strategies for Tuesdays and Mondays
#DataAnalysis#SalesData
#BusinessIntelligence#DataInsights#SuperstoreDatase#PowerBI#DataVisualization#SalesStrategy#BusinessGrowth#Analytics
#MarketingInsights #SalesPerformance#GeographicAnalysis#CustomerSegmentation