AWS SaaS Sales Optimization

Objective

Develop data-driven discount optimization strategies to maximize sales and market competitiveness across AWS's product portfolio.

Challenges

• High variation in product sensitivity to discounts across regions and time.
• Limited profitability data to comprehensively evaluate discount impacts.
• Focus on prescriptive analysis without incorporating machine learning techniques.

Methodology

• Data Cleaning and Anomaly Detection
• Exploratory Data Analysis
• Region and Product Segmentation
• Strategic Recommendations

Analysis

Key questions explored:

• What is the correlation between discount levels and quantity sold for each product?
• Can we identify products that are highly sensitive to discounts?
• What patterns emerge when comparing discount impacts over time?
• How can we optimize discount strategies for sensitive and insensitive products?

Conclusion

By leveraging data-driven insights, AWS can enhance its discount strategies, maximize sales, and strengthen its market competitiveness.

View on GitHub Tableau Dashboard Analysis