Power BI for Shopify
avtor: Victa B.V.
Power BI for Shopify is a powerful, quick-to-install business analysis application
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.
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.
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.
General: consolidation across multiple shops
Selections: In periode, Year2Date (till period) and RTM (Rolling 12 months)
Revenue vs Target