{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/ce1b493fda084ca79344a82debbf9dff\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/ce1b493fda084ca79344a82debbf9dff-a0a5803955f30700.gif","duration":364.665,"title":"Data Normalization and AI Enrichment Tips 📊","description":"In this video, I walk you through the process of normalizing data and utilizing AI functionalities to enhance your CSV imports. I highlight the importance of keeping your data clean and standardized, and I demonstrate how to fill in gaps, particularly with LinkedIn URLs. I also touch on the concept of using a \"waterfall\" approach for enriching company information. Please take a moment to review these methods and consider implementing them in your workflow."}