Health & Quality Check · data trust scoring · 8 departments

Per-mart completeness, freshness, drift, and SLA. A number can only matter if you trust it.

Overall data trusti

97.5%

Freshness · avgi

99.75%

Cells under managementi

112.8k

Active dbt testsi

187

mart

rows

columns

completeness

freshness %

drift bps

health

📅 Bookings & Reservations

1,410

100.0%

99.71%

1.76

96.4%

💰 Finance

1,410

100.0%

99.60%

1.36

97.1%

💬 Customer Experience

1,410

100.0%

99.97%

0.54

98.9%

🏨 Inventory Management

1,410

100.0%

99.95%

0.93

98.1%

📢 Marketing

1,410

100.0%

99.81%

0.71

98.5%

⚙️ Operations

1,410

100.0%

99.46%

1.94

95.9%

🤝 Partner Management

1,410

100.0%

99.78%

0.74

98.4%

🖥️ IT & Platform

1,410

100.0%

99.68%

1.46

96.9%

Active dbt tests

last run · all green

not_null(bookings.id)✓ 5m ago

unique(bookings.id)✓ 5m ago

accepted_values(bookings.status, ['confirmed','cancelled','refunded'])✓ 5m ago

relationships(bookings.partner_id → partners.id)✓ 5m ago

freshness(raw_bookings, max_loaded_at_field, 60min)✓ 5m ago

expect_table_row_count_to_be_between(fact_bookings, 50k, 500k)✓ 5m ago

expect_column_mean_to_be_between(commission, 0.05, 0.20)✓ 5m ago

ETL pipelines · live status

Cloud Composer · last 6 runs each

bookings_ingest✓✓✓✓✓✓4m 12s

hotels_snapshot✓✓✓✓✓✓18m 4s

rates_history✓✓✓✓✓✓2m 33s

dbt_run · marts✓✓✓⚠✓✓7m 51s

dbt_test · all✓✓✓✓✓✓1m 48s

supplier_quality_daily✓✓✓✓✓✓3m 22s