<?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/9e1922e1776f46c695b2f49dedf63a0e&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/9e1922e1776f46c695b2f49dedf63a0e-f0ca0c2b8e6ab642.gif</thumbnail_url><duration>320.996</duration><title>Importing and Normalizing Data Demo</title><description>In this video, I walk you through the process of importing and normalizing data using our playbook. I demonstrate how to map the necessary fields and ensure that the data is correctly formatted before running the workflow. It&apos;s crucial to remember to manually start the workflow after importing, as it won&apos;t auto-update. Please make sure to add your API key for the status checks to function properly. I would appreciate your feedback on this process!</description></oembed>