Sales Analysis by Brand

High Level Design


In sales data analysis, it’s common to use Gross Profit Margin (GPM) to understand efficiency. Since the GPM basically represents the revenue generated from sales deducted by the costs of making said sales (cost of goods sold). As a rule of thumb, a high GPM would indicate that our company/brands are likely to make a reasonable profit as long as we keep the remaining costs (Manufacturing overhead, operating expenses, etc.) under control. A low GPM would indicate that the production costs are too high and changes need to be make to production processes. We’ll use this indicator to understand which of our brands is best utilized and study its behavior over time, compare our brands across different locations (countries) and more. This will give us a good indication regarding which brand to allocate more resources and invest in.


Increase our company’s profitability by 5% compared to last year by effectively utilizing our resources across the brands we produce.

KPI Architecture

Objectives KPIs Measures Data Source
Increase company’s profitability Company’s Gross Profit Margin

(Revenue – Cost of goods sold) / Revenue

Brands Gross Profit

Per Brand: (Revenue – Cost of goods sold) / Revenue

fact_Sale_Orders, fact_Purchase_Orders, dim_Brand
Growth Rate of Gross Profit Margin



Current Period Gross Profit / Past Period Gross Profit

fact_Sale_Orders, fact_Purchase_Orders
Sales Revenue

SUM of Net Revenue


Data Requirements

# Source Table Name Table Details (Type, #Rows, Key field/s)
1 [CRM System] fact_Sale_Orders Contains the general, or parent, sales order information alongside the specific products associated with the sales order.
2 [CRM System] fact_Purchase_Orders Contains the general, or parent, purchase order information alongside the specific products associated with the purchase order.
3 [CRM System] dim_Brand Contains the list of Brands associated to each Product.


The following resources will enable you to design your dashboard and data model with sample data and then apply it to your own data. Note that you will need to have a previously installed version of Sisense (you can use the free trial version if you’re not a customer).

Sample data and dashboard examples (direct download)