Factory Data / Overview
Envprod Rundbt_202610_25 live

Operations overview

Maintenance posture, monthly budget allocation, and unresolved anomalies — April 2026.

Total machines
28
across 4 functional groups
Maintenance due soon
2
DUE_SOON · 7d window
Budget this month
R$242.092
8 cost centers · 202604
Flagged alerts
13
UNREVIEWED
Budget allocation by cost center
Planned spend · BRL · month 202604
Maintenance status
Distribution across 28 machines
View all →
28
Machines
Maintenance backlog
Machines past due or due within 7 days, sorted by urgency
Open Equipment →
Machine Type Line Days Status
3 Producao both -70d OVERDUE
12 Embalagem both -68d OVERDUE
14 Producao Line A -68d OVERDUE
22 Producao both -66d OVERDUE
26 Producao both -64d OVERDUE
18 Producao Line B -61d OVERDUE
27 Producao both -60d OVERDUE
15 Embalagem both -59d OVERDUE
Top anomalies
Pending review · sorted by deviation
All alerts →
80c694b4-89d0-4a65-8359-dc0fa3910237
Impostos · R$ 16.142,50 vs μ R$ 5.963,00
+71%
56d840af-2237-4152-88b4-e26dc01fe0b0
Fixas · R$ 5.365,00 vs μ R$ 2.009,00
+67%
68b67cb5-ce0c-4b03-9661-38df54274570
RH · R$ 62.310,00 vs μ R$ 24.117,00
+58%
c29afd1d-e5f2-4409-a0ec-fed4fb73fa2b
Fixas · R$ 4.977,50 vs μ R$ 2.009,00
+48%
ADR · 2026-04

Anomaly detection is rule-based by design — zero labeled history makes ML inappropriate here.

Factory Data Platform
Portfolio project · Apr 2026
case study

Built for a Brazilian food manufacturer operating 28 documented machines across two product lines. All controls previously ran on paper.

Stack Kafka Redis BigQuery dbt Airflow FastAPI Docker
lakehouselakehouse.albuqr.com
monitortransaction-monitor.albuqr.com
apiplatform-api.albuqr.com
Data sources & known gaps
Documented, not fabricated
✓
Equipment
28 named and documented machines out of a larger fleet — remaining machines lack identification records.
✓
Budget
8 cost centers, real monthly allocations from DRE spreadsheet.
✗
Actuals
Source transactions had no cost center mapping — variance data unavailable. Documented, not fabricated.
✓
Alerts
Rule-based detection at 20% deviation threshold. Alerts shown are stored demo data; no live pipeline.