Enhanced Resource Booking Analysis (Beta): Time‑Phased Opportunity Demand
Resource Booking Analysis (Beta) now provides calendar‑based distribution of Fee Estimator opportunity hours across tasks, improving the accuracy of capacity, demand, and utilization insights.
This enhancement builds on the integrated resource planning capabilities introduced in 10.0.46 and makes opportunity demand more realistic and actionable over time.
Calendar‑Based Distribution of Opportunity Hours
Opportunity hours from the Fee Estimator are now:
- Automatically distributed across the task start–end date range at the resource level, with hours proportionally spread across scheduled tasks.
- Aligned to the resource calendar, ensuring allocation is based on actual availability by considering only working days, excluding weekends and holidays, and supporting both full‑time and part‑time resource assignments.
- Reflected accurately at month, week, or day granularity in the Resource Booking Analysis report.
This enhancement enables planners to understand when opportunity work is expected to occur, not just how much.
Fabric Link BI Workspace Stabilization and Reliability Improvements
This release strengthens the Fabric Link BI foundation by improving the consistency, correctness, and semantic reliability of the PBIPO and PBIFO reporting layers used by AEC360 analytics.
These enhancements ensure that Power BI reports behave predictably and consistently across Synapse Link and Fabric Link, providing a stable platform for advanced planning and utilization insights.
Key Improvements
- Improved Fabric–Synapse consistency, with SQL views fully aligned to eliminate case‑sensitivity and alias mismatches that previously caused broken field references
- Improved cross‑platform compatibility, resolving structural differences related to case sensitivity and system‑generated fields that can impact Fabric‑connected reporting
- Reinforced reporting consistency, ensuring Fabric‑connected AEC360 reports produce robust visuals across portfolio, financial, and utilization views




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