Analyzing Retail Sales
- Guided Project
- 0.5 hours
- Beginner
- Excel
Practice analyzing retail sales data in Excel to uncover trends, build models, and guide business decisions.
Overview
In this project, you'll assume the role of an analyst for a chain of retail stores tasked with exploring the company's sales performance across categories over the past few years. You'll combine and analyze data from multiple sources in Excel to uncover trends, build models, and provide data-driven insights to guide business decisions.
Throughout the project, you'll apply key Excel skills like data aggregation with PivotTables, variance and trend analysis, and sensitivity analysis with What-If tools. By the end, you'll have a comprehensive Excel report evaluating sales and profitability metrics to inform the company's strategy.
Objective: Analyze retail sales data in Excel to identify performance trends and build models to guide business decisions and planning scenarios.
What You'll Learn
- ✓ Combine and profile data sources
- ✓ Analyze and visualize trends in sales over time
- ✓ Analyze changes over time at varying levels of a hierarchy
- ✓ Model future business scenarios for impact on profitability
Before You Start
- ✓ Analyzing data at different hierarchy levels using PivotTables
- ✓ Analyzing trends over time in data
- ✓ Exploring relationships between variables
- ✓ Building basic models to confirm insights
Project Steps
8 steps
- 1 Preparing the Data
- 2 Order Dates: Basic Statistics
- 3 Profit Composition by Category and Segment
- 4 Sales by Category Over Time
- 5 Forecasting Future Sales
- 6 Analyzing Average Order Value
- 7 Sensitivity Analysis and Scenario Planning
- 8 Review
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