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This is one of the most advanced examples amoung sample reports. It consists of 4 pages and allows to understand how customers tend to form their combination of products they put in one busket (one order).
First page of the report allows to select a product that has the highest amount of related products: other products, bought by same customers.
First page of the report shows list of products with various filters, that could be used to limit the set of products to those that we want to analyze.
List of products has such measures as "Customers Count" and "Same Customers Products Count". One will show how much customers purchased the product. second - how much of other products those customers bought.
It allows to concentrate the further analysis on the products that are often bought together with other products.
This page of the report includes:
Table with products lists available products with some sales metrics and measures "Customers Count" and "Same Customers Products Count" explained before.
In order to continue the analysis, a product should be selected in the list. Righ-click and selection of Drillthrough -> Single Product Analysis will navigate user to the second page of the report.
Second page will show the data in relation to the selected product.
This page has list of products that were purchased by the customers who purchased the analyzed product.
Relation between the KPIs may help to understand, how big impact the analyzed product makes on the revenue from the customers.
Table with products lists products purchased by the same customers who bought the analyzed product. The measures help to identify the most important products from that list:
Relation between measues in the table may help to estimate, how significant the relation between two products was for the revenue.
To continue the analysis, user may select a single product from the related products list. This will form a pair of products for further analysis. To select related product, user needs to right-click on one of the rows and select Drillthrough -> Single Product Pair Analysis.
Third page of the report is dedicated for single products pair analysis.
Main KPIs on this page:
Rest of the KPIs are presented row by row for first analyzed product and for selected related product:
The table lists customers and their orders where the two products appear. Here user may select a particular customer from the list and switch to the next page of the report by doing right-click on a row in the table and selecting Drillthrough -> Single Customer View.
The last page of the report shows the orders, done by single customer.
This page includes:
Please, note that the page does not list private information about the customer to stay compliant with possible privacy rules.
This report is created based on data from Magento e-commerce platform. Any online store build with usage of Magento (1-st or 2-nd version) can have this report installed with Power BI integration extension for Magento that enables business intelligence functionality in Magento store.
The report is hosted by Power BI Service from Microsoft. It is connected to a dataset, created and published to Power BI Service by Power BI Sales Cube extension installed on Magento e-commerce platform.
The report automatically updates its data every hour. it is based on demo magento data where several new orders are generated every day.
The process of data update involves:
Such report may be accessible by different Power BI users of the same organization. Also, users may access it using Power BI Mobile App on Android, iOS or Windows Phone.
The report is based on Sales Cube dataset provided with Power BI Sales Cube extension for Magento. After installing the extension, user may create and configure dataset with Magento data that will be avialable in Power BI Service. The extension comes with a report template for this report.
This report is intended to provide out of the box functionlity together with Power BI Integration extension. And even though, this report could already bring value to the business, it is just an example of what could be created based on Sales Cube dataset. It could easily be edited and adjusted to comany needs.
From simple reporting to more advanced analytics, integration with Power BI opens lot of possibilities for Magento merchants.