<?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/0a3d11811a404432a8e9f435416cef5e&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/0a3d11811a404432a8e9f435416cef5e-39e1399a9a59759a.gif</thumbnail_url><duration>326.294</duration><title>Comparing Customer Invoice Data Across Systems 📊</title><description>In this video, I compare two systems we use: SAP for customer master and invoice data, and our e-commerce platform, which has over 34,000 records. I walk through the process of extracting unique invoices from these systems, highlighting the challenges I faced with large data sets, including an error due to too many rows. I also explain how I summarize invoice data to compare sums between the two systems. I encourage viewers to download the two files for a better understanding of the data involved. Please take a moment to familiarize yourself with the unique customers and invoices as we move forward with this analysis.</description></oembed>