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SQL for Regional Trends
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SQL for Regional Trends

HardSQL · PostgreSQL

Problem

Write a SQL query to analyze business performance by region and month at Criteo, joining operational data with revenue data to identify trends and outliers.

Return all region-month combinations represented in either source, including months with missing data. Calculate operational volume, revenue, revenue per operation, month-over-month revenue change, and an outlier indicator based on regional monthly revenue.

Output

  1. One row per region and month, ordered by region_id, then month.
  2. Columns: region_name, month, operational_count, revenue, revenue_per_operation, revenue_change_pct, and is_revenue_outlier.
  3. Preserve missing revenue as NULL; use TRUE only when revenue is unusually high or low for its region.

Schema

regions
ColumnTypeDescription
region_idPKINTUnique region identifier
region_nameVARCHAR(100)Criteo operating region name
operational_data
ColumnTypeDescription
operational_idPKINTUnique operational record identifier
region_idINTReferenced operating region
monthDATEMonth represented by the record
operational_countINTNumber of operational units completed during the month
revenue_data
ColumnTypeDescription
revenue_idPKINTUnique revenue record identifier
region_idINTReferenced revenue region
monthDATEMonth represented by the record
revenueNUMERIC(12,2)Revenue recognized during the month
Tablesregionsoperational_datarevenue_data
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