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🛠️ The Detox

Technical Debt & Rescue

Got legacy reports that take 40 minutes to refresh? A semantic model nobody dares touch? We diagnose the root cause, refactor the mess, and get your production environment back to peak freshness — without bringing the system down.

Common rescue missions

  • Report refresh times from hours → minutes
  • Broken DAX measures & circular dependencies
  • Duplicate tables across 15 workbook copies
  • Failed scheduled refreshes & gateway issues
  • Post-migration data reconciliation

Our approach

  1. Profile & benchmark current state
  2. Identify top 3 bottlenecks (usually 80% of pain)
  3. Fix in a staging environment, validate with stakeholders
  4. Cut over with rollback plan — zero downtime

Example deliverables

Performance Recovery Report

Rescue Project · Sales Analytics PBIX

Before (Week 0)

Report refresh42 min
Failed queries / day23%
Model size2.1 GB
Duplicate measures47
User complaints / wk12

After (Week 6)

Report refresh4 min ▼90%
Failed queries / day1% ▼96%
Model size680 MB ▼68%
Duplicate measures0
User complaints / wk0

Root Cause Analysis Timeline

Incident #2026-0341 · Executive dashboard timeout
09:14

Alert: refresh failed 3x consecutively

Gateway timeout after 30 min

09:45

Diagnosis: cartesian product in fact join

Sales × Promotions = 840M rows inflated

11:20

Fix: bridge table + inactive relationship

Deployed to staging, validated by finance

14:00

Production cutover — refresh in 3m 48s

Rollback window closed. Incident resolved.

Data Model Cleanup

Tabular Editor · Model comparison

Legacy model (v14)

Tables: 34 (12 hidden duplicates)
Relationships: 28 (4 bi-directional ⚠)
Measures: 112 (47 duplicates)
Calculated cols: 89 ← should be in ETL
Import mode: 2.1 GB
Refresh: Import all tables

Refactored model (v15)

Tables: 18 (star schema)
Relationships: 16 (all single-direction)
Measures: 65 (documented, grouped)
Calculated cols: 12 (display only)
Import mode: 680 MB
Refresh: Incremental on facts