Clean Messy Data in Minutes with AI — Prophecy Data Onboarding with Snowflake

Your data never arrives clean. It shows up in every format, and getting it into a trusted structure takes days. Prophecy AI Data Onboarding changes that: upload a raw file, map it to your data model with AI, validate the important steps, and it all runs natively on Snowflake under your governance. Watch a raw finance loan file get onboarded to a clean, report-ready structure in minutes. You'll learn: - How to onboard raw, messy files into a clean Snowflake data model - How AI maps source columns to target fields with confidence scoring - How built-in data quality checks surface problems before they hit production - How to validate mappings fast — approve good ones, fix the edge cases - How Prophecy learns from your corrections to improve future onboarding - How to go from clean data straight into pipelines or AI analysis 🔗 Learn more about Prophecy AI→ https://prophecy.ai?utm_source=youtube&utm_content=clean_with_snowflake Timestamps 0:00 – The problem 0:13 – What is Prophecy AI Data Onboarding 0:24 – Step 1: Upload a raw data file 0:38 – Step 2: Pick a target data model 0:45 – What is a data model 0:53 – Step 3: AI maps source columns to target fields on the Canvas 1:07 – How to read the mapping 1:23 – Approve high-confidence mappings instantly 1:27 – Review and correct low-confidence or failed quality checks 1:34 – AI learns from every correction 1:42 – What's next 1:52 – Recap ━━━━━━━━━━━━━━━━━━━━━━━━━ 🏷️ Tags data onboarding, Snowflake data prep, AI data cleaning, messy data automation, Prophecy AI, data mapping tool, data quality checks, no-code ETL, Snowflake automation, data pipeline Snowflake, AI ETL tool, financial data onboarding, data model mapping, agentic data prep