Complementary Insights: A Unified View
Each data source—WiFi, Entryway Sensors, Area Sensors, and even Badge Data—offers a different lens into workplace behavior. By combining these sources within a single platform, VergeSense delivers a more complete, multi-dimensional view of how spaces are used.
- WiFi captures broad occupancy patterns with speed and scale
- Sensors provide precision at entry points and within rooms
- Badge Data helps validate policy adherence
Together, these inputs enable workplace teams to make confident, strategic decisions based on the most complete dataset available.
WiFi vs. Area Sensors
- WiFi: Provides building- and floor-level data with 80–85% accuracy. Best for broad coverage and scalability at low cost.
- Area Sensors: Deliver highly accurate, room-level occupancy data. Ideal for spaces where precision is critical (e.g., conference rooms).
Combine both for a layered understanding of your workplace.
WiFi vs. Entryway Sensors
- WiFi: Requires no new hardware and is cost-effective. Best for trend tracking.
- Entryway Sensors: Offer >95% accuracy at ingress/egress points. Best when accuracy is top priority and infrastructure is available.
Use WiFi to scale insights; use Entryway Sensors for validation and precision.
WiFi vs. Badge Data
- WiFi: Tracks real-time occupancy. Measures how long people are actually present in a space.
- Badge Data: Measures access activity. May overcount or undercount due to tailgating or lack of badge-outs.
WiFi provides a continuous, passive signal. Badge data is event-driven and useful for policy compliance but less useful for real-time utilization.
Accuracy-Based Data Hierarchy
VergeSense follows an accuracy-first model for buildings/floors with a multi-data layer approach:
- If Entryway data is available, it powers floor-level person counts
- If not, WiFi data is used for floors and large zones
- Area Sensor data supplements granular insights at the room level
This ensures customers always see the most accurate occupancy data available.
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