Project 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.
Key skill required
To complete this project, it's recommended to build these foundational skills in Excel
- Analyzing data at different hierarchy levels using PivotTables
- Analyzing trends over time in data
- Exploring relationships between variables
- Building basic models to confirm insights
Projects steps
Step 1: Preparing the Data
Step 2: Order Dates: Basic Statistics
Step 3: Profit Composition by Category and Segment
Step 4: Sales by Category Over Time
Step 5: Forecasting Future Sales
Step 6: Analyzing Average Order Value
Step 7: Sensitivity Analysis and Scenario Planning
Step 8: Review
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