If you’re already familiar with Power BI  and Power Automate , you know how powerful it is when these two tools work together. But one of the most game-changing triggers  in Power Automate is: 👉 “Run a query against a dataset” This trigger lets you execute DAX queries (Data Analysis Expressions)  directly against your Power BI dataset from a flow. That means you can extract aggregated results, row-level values, or KPIs in real time — and then use that information to trigger

Hook:  Hard-coded paths are silent project killers. Move a file, share a workbook, or publish a PBIX—and boom: refresh fails. Goal:  In ~10 minutes you’ll set up robust, parameter-driven paths for Excel (Power Query) and Power BI (Desktop & Service), plus a tiny, reusable M pattern you can paste into any project. 1) Why hard-coded paths fail When you embed "C:\Users\Alice\Project\data.csv" in a query, anyone whose files live elsewhere (e.g., D:\Work\Data\) will get errors. I

Processing invoices is one of the most common but also one of the most time-consuming tasks in any finance or business department. Manually typing invoice numbers, vendor names, or due dates into an ERP or Excel sheet not only takes time but is also error-prone. With Power Automate and AI Builder , you can automate this process: invoices get uploaded (or even received by email), an AI model extracts key information, and the results can be sent by email or stored in your syste

Microsoft Power BI Desktop  contains a rich set of modelling and reporting features, yet many power users enhance their workflow with external tools . These tools attach to the Analysis Services instance behind a PBIX/Power BI semantic model and allow advanced editing, scripting, performance analysis and automation. The External Tools  ribbon lists all registered tools, and Microsoft warns that these are produced by independent developers; editing metadata outside Power BI De