Dimension Mapping
The data model includes measures such as Sales Revenue, Number of Customers, Average Order Value, Sales Conversion Rate, and Revenue by Product Category. Views like Dimension Mapping, Revenue by Product, Customer Segmentation, Market Basket Analysis, and Time Series Analysis provide insights for analyzing sales performance, customer behavior, product revenue breakdown, and trend forecasting to optimize marketing strategies and enhance cross-selling opportunities.
Benefits of This Data Model
- Enhanced Data Analysis: Dimension Mapping allows for detailed analysis by providing mappings between dimensions, helping identify patterns within the data for better insights.
- Optimized Sales Strategies: Analyzing Revenue by Product enables businesses to optimize their sales strategies by understanding which products generate the most revenue.
- Improved Marketing Campaigns: Customer Segmentation assists in grouping customers based on behavior and attributes, enabling targeted marketing campaigns that are more effective.
- Enhanced Cross-Selling Opportunities: Market Basket Analysis identifies relationships between products purchased together, enhancing cross-selling opportunities and increasing revenue streams.
- Better Trend Forecasting: Time Series Analysis tracks data changes over time, helping businesses to identify trends and forecast future outcomes more accurately.
Key Performance Indicators (KPIs)
- Sales Revenue: Total revenue generated from sales transactions.
- Number of Customers: Count of unique customers who made a purchase.
- Average Order Value: The average amount spent per customer order.
- Sales Conversion Rate: Percentage of website visitors who make a purchase.
- Revenue by Product Category: Breakdown of revenue generated by different product categories.
Available Visualizations
| View Name | Description |
|---|---|
| Dimension Mapping | Provides mapping between dimensions to analyze data and identify patterns. |
| Revenue by Product | Analyzes revenue generated by different products to optimize sales strategies. |
| Customer Segmentation | Groups customers based on behavior and attributes for targeted marketing campaigns. |
| Market Basket Analysis | Identifies relationships between products purchased together to enhance cross-selling opportunities. |
| Time Series Analysis | Tracks data changes over time to identify trends and forecast future outcomes. |