Power BI for Shopify

Power BI for Shopify

Power BI for Shopify is a powerful, quick-to-install business analysis application on the powerful Microsoft Power BI platform, configured and optimized for shopify's e-commerce environment.

Architecture

Especially for Shopify , Victa has developed a connector (based on API) with which data can be read directly from Power BI or through a data mangement environment (Azure BLOB, Azure Datalake or Azure SQL). The connector is easy and quick to set up with the access data of your Shopify administration(s).

Easy to integrate.

Power BI for Shopify is easy to integrate with other data sources. With the powerful Microsoft engine you can quickly create links

with databases or data files (XLS, XML, CSV, HTML, etc.). All possible data exports can also be facilitated from the dashboard. For

example, a commonly used export is to Excel.

Powered by Power BI

The Shopify Dashboard has been developed on the powerful Business Intelligence platform of Microsoft Power BI. Power BI's intuitive

technology enables users to easily analyze information. The model can be easily and quickly expanded with your own visualizations,

reports or dashboards or even additional data sources.

Time to Value

The Shopify Dashboard can be rolled out plug & play. The result is a powerful BI solution that can be quickly implemented throughout

your organization, resulting in a fast time to value and a high ROI.

Powerful analytics

All information is presented in powerful graphical displays such as bar charts, pivot tables, gauges and pie charts. The list views are also suitable for prints and reports. In the app you can descend to the lowest level of detail (transactions). In short, all data is easily and quickly available. In the Power BI application it is possible to print out each of the different information components in report form.

Functionality

General: consolidation across multiple shops

Selections: In periode, Year2Date (till period) and RTM (Rolling 12 months)

Functions:

Order analytics

Basket analytics

Revenue analytics

Revenue vs Target

Transactions