<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/ef7cd66b08aa486db874f2f14438d835&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/ef7cd66b08aa486db874f2f14438d835-56c14cf829f4293b.gif</thumbnail_url><duration>588.971</duration><title>Creating Effective Classifications 📊</title><description>In this video, I walk you through the process of creating classifications within our design to enhance our data assets, specifically focusing on account size based on revenue figures from our customers table. I demonstrate both manual and smart classification methods, highlighting how smart classification can automatically generate categories based on unique revenue values. Additionally, I showcase a more complex example involving general ledger transactions and advanced filtering for financial reporting.</description></oembed>