After you’ve connected your Magento store, you can use the Data Warehouse Manager to easily track relevant data fields from your Magento database for analysis.
In this article, we’ll explore the main data tables that Magento users import into Magento BI.
|Customers||The customer_entity and related tables describe the information associated with each registered customer in your database, like their email address and registration date. With this information, you can begin segmenting by customer-level attributes and cohorts.|
|Orders||The sales_flat_order table records all orders, including the created_at timestamp that the order was placed and the base_grand_total field that sums up revenue. These fields will be the basis for your order-level metrics. If the order was made by a registered customer, the customer_id field will link back to the customer_entity table to allow analysis on customer buying behavior.|
|Order items||The sales_flat_order_item table records each item belonging to an order. This includes the price and qty_ordered fields, as well as the order_id field which connects to the sales_flat_order table. This table is the foundation for metrics like “Item sold”, and allows you to segment by product and product type.|
|Products||The catalog_product_entity table stores information on product-level attributes, like category, size, and color.|
|Categories||Your products will belong to one or many different product categories,|
|depending on how your Magento build is set up. The catalog_category_entity table stores the hierarchy of these categories (Apprarel -> Tops -> T-Shirts, for example), and the catalog_category_product table logs the connections between your products and those categories.|