The Analyst's Reality: Answering Drill-Down Questions

"What is the true ROAS for Meta Ads in Q3, accounting for refunds?"

Querying Raw Transactional DB
sales_table_v2
users_raw
click_logs_prod
stripe_refunds
🤯 "15-Step JOIN. Will take 3 hours to untangle."
The Problem: The analyst must manually join unstructured disparate tables on the fly. This requires recursive deduplication logic, stalling speed-to-insight and drastically increasing the margin for attribution errors.
Querying via Semantic Layer
Semantic Layer
Translates business logic: "Net Revenue" = (Sales - Refunds)
Marketing MTA Mart
Sales Mart
😎 "SELECT * WHERE channel='meta'. Done in 2s."
The Solution: Pre-processed Data Marts organize data by business subject. The Semantic Layer provides consistent definitions. The analyst runs a simple 2-line filter, unlocking instant, accurate Multi-Touch Attribution insights.