Description
Office relocations are often driven by assumptions rather than data, leading to inefficient space use, unnecessary asset procurement, and missed energy optimization opportunities. This session will present a real-world case study from BDP showing how digital twins created with Autodesk Tandem software connect occupancy, energy, and asset data to drive smarter workplace decisions. By making existing data visible and usable, the team avoided £600,000 in furniture spend, enabled reuse of 71% of assets, and reduced required floor area by 27%. Learn how to integrate sensor data, structure asset information, and apply digital twin insights to reduce cost, improve sustainability, and optimize real estate decisions.
Key Learnings
- Learn how to integrate occupancy and energy data into digital twins to generate operational insights.
- Learn how to structure asset and space data to support relocation, reuse, and portfolio decisions.
- Learn how to connect sensor data to digital twins using APIs for real-time visibility.
- Learn how data-driven insights reduce cost, improve sustainability, and optimize space usage.
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