{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/b6e2e92ba7c3453b8e491b093668602f\" frameborder=\"0\" width=\"1728\" height=\"1296\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1296,"width":1728,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1296,"thumbnail_width":1728,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/b6e2e92ba7c3453b8e491b093668602f-e108cf2a99783241.gif","duration":323.233333,"title":"Tartini AI Product Demo","description":"This Loom shows how to use Tatini to build an analytics workflow from event tracking to tables and dashboards in one place. It explains that Tatini integrates with a GitHub repo and Google Analytics to identify current tracked events, highlight missing events, and suggest next steps such as checking for purchase and item events, with drill downs like Add to Cart leading to Begin Checkout. It then demonstrates creating a daily summary table grouped by event name and refreshing automatically at 2 a.m. using Google BigQuery, including metadata checks such as records per date and partitions. Finally, it covers dashboard creation by prompting for a dashboard like purchase event coverage and conversion rate widgets and having Tatini edit widgets if needed."}