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data modeling in power bi
Blog

Data modeling for e-commerce in Power BI – examples and tips

E-commerce generates huge amounts of data: from transactions and customer information, through marketing campaigns, to logistics and order and return processing. The challenge is not only to collect this data, but also to model and analyze it appropriately. This is where Power BI comes in – a tool that allows you to transform scattered information into coherent and readable analytics that support business decisions. In this article, we will present best practices for data modeling in e-commerce, show examples of applications, and suggest how to avoid common mistakes.

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power bi visualization
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How to fully leverage the potential of custom visuals in Power BI?

Power BI, as one of the most powerful Business Intelligence tools, offers a wide range of built-in visualizations to help users understand and interpret data. However, in many cases, standard options may not suffice to meet unique business requirements. In such situations, custom visuals come to the rescue, enabling the creation of more advanced and personalized reports. 

In this article, we will explore what personalized charts are, their benefits, how to create them, and where to find ready-made solutions. 

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microsot 365 in power bi
Blog

Microsoft 365 in Power BI

Integrating Power BI with Microsoft 365 is a step that allows companies to maximize the potential of their data. By leveraging the Microsoft ecosystem, including tools like Excel, SharePoint, and Teams, data analysis becomes simpler, more intuitive, and accessible to the entire team. This integration enables businesses to utilize the data already collected through Microsoft 365 tools effectively.

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power bi apps
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How does the integration of Power Apps and Power BI support businesses?

Integrating tools that facilitate data processing and automate business processes is becoming essential for companies aiming to boost efficiency. Power Apps and Power BI, as part of the Microsoft ecosystem, offer solutions that improve data management and enable more accurate decision-making. This article explores how these tools can support business growth and the benefits of their integration.

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