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The Missing Link Between Data and Business Value

How a real estate portfolio manager cut data preparation time by 80% — and finally got their BIM data AI-ready.

Project duration:

5 months

Output:

Data Quality for AI Readiness

The challenge

  • Managing 47 buildings across 6 different FM platforms, each exporting data in proprietary formats with inconsistent naming conventions
  • Asset attributes like floor area, material type, and maintenance schedules were stored differently in every system — impossible to compare or aggregate
  • Data preparation for quarterly reporting took the analytics team 3+ weeks of manual work each cycle
  • Two AI pilot projects had failed at the data ingestion phase — models couldn't interpret the heterogeneous inputs
  • No audit trail on data transformations: when a number looked wrong, no one could trace it back to the source
  • 80% reduction in data preparation time — from 3 weeks to 3 days per reporting cycle
  • 340 cleaning operations executed with zero manual intervention
  • 100% audit coverage — every transformation traceable to source row and original file
  • 2 AI projects relaunched after previously failing at the data ingestion phase
  • 38 concepts unified across 6 heterogeneous platforms in a single shared ontology
  • ROI in 6 weeks — time savings alone covered the full implementation cost

Impacts

Success stories

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