<?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/05da1123fd9a4a21bc84246b8db8d210&quot; frameborder=&quot;0&quot; width=&quot;1856&quot; height=&quot;1392&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1392</height><width>1856</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1392</thumbnail_height><thumbnail_width>1856</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/05da1123fd9a4a21bc84246b8db8d210-5234f64122151d61.gif</thumbnail_url><duration>729.476</duration><title>Mapping Account Hierarchies for Effective Data Governance</title><description>In this video, I dive into the complexities of mapping out account hierarchies, which is crucial for anyone involved in data governance or ECRM administration. We explore how to define relationships between parent and subsidiary accounts using the L1, L2, L3 structure, and I emphasize the importance of normalizing company data, including location and tax identifiers. I discuss the workflow involving three providers—Hit Horizons, HG Insights, and Clagant—to aggregate and clean the data for accurate hierarchy mapping. I also highlight the need to focus on immediate and global parents when integrating this information into your CRM, specifically Salesforce. If you have any questions or need further clarification, please reach out to me directly on LinkedIn or contact your growth strategist.</description></oembed>