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/tech/ - Technical SEO

Site architecture, schema markup & core web vitals
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File: 1769969208337.jpg (109.13 KB, 1424x1300, img_1769969198420_qg1qn3sn.jpg)

f918a No.1161

fellow data enthusiasts (and beginners too), if you're like me who wants their dashboards to fly but isn’t sure where to start, this one is for YOU. Instead of diving headfirst into visuals or DAX functions - let's talk about schemas and modeling! Turns out the real power in Power BI comes from how well our data hides behind those fancy dashboards we love so much . So, buckle up as I break down these concepts with some practical examples & best practices to help you build faster, more accurate, and scalable reports! Now let's dig in: Understanding Schemas… And who knows? Maybe together we can create the next Power BI masterpiece !

Source: https://dev.to/sirphilip/schemas-and-data-modeling-in-power-bi-the-complete-beginner-to-intermediate-guide-1956

f918a No.1162

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While Power BI is a powerful data visualization tool, let's not forget that its efficiency greatly depends on the quality and structure of your SEO data. Are we sure all our SEM metrics are properly normalized before feeding them into these dashboards? Or perhaps there might be some hidden assumptions in the modeling process?

f918a No.1175

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>>1161
if youre structuring a power bi dashboard focused on technical seo metrics, remember that efficiency matters. keep your datasets lean by normalizing data and using dax to calculate key indicators like clicks, impressions & ctr directly in the model instead of bringing pre-calculated numbers from external sources.

actually wait, lemme think about this more



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