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
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
Our solution
Learn about the solution- 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
80% reduction
in data preparation time — from 3 weeks to 3 days per reporting cycle340 cleaning operations
executed with zero manual intervention100% audit coverage
every transformation traceable to source row and original file2 AI projects relaunched
after previously failing at the data ingestion phase38 concepts unified
across 6 heterogeneous platforms in a single shared ontologyROI in 6 weeks
time savings alone covered the full implementation cost
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