Buildings Level Insight
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The chart displays the distribution of reservation count by buildings, categorised by resource type. It aggregates how many reservations have been made in each building and further segments the data based on different types of resources.
Identify buildings with the highest or lowest resource usage.
Optimise resource distribution based on building-specific demand.
Detect underutilised facilities to inform cost-saving or repurposing strategies.
The chart displays the distribution of reservations by buildings, highlighting the reservation proportions for different buildings. It visually represents how total reservations are divided among various buildings, offering a comparative overview of facility usage across locations.
Understand which buildings contribute most to overall reservation activity.
Identify imbalances in usage to guide resource reallocation or scheduling adjustments.
The chart displays daily, weekly and monthly reservation trends over the selected time range, categorised by buildings. It illustrates how reservation activity fluctuates over time for each building, enabling the analysis of temporal patterns and comparative usage dynamics.
Monitor reservation trends to identify peak and off-peak periods for each building.
Detect anomalies or sudden changes in usage that may require investigation.
The chart displays the average sensor values recorded across different buildings. It aggregates data from various sensors (e.g., temperature, humidity, CO₂ levels, occupancy) and calculates the avg value for each building.
Monitor and compare environmental conditions across buildings for comfort and compliance.
Identify anomalies or irregularities in sensor data to detect potential maintenance needs.
The summary table displays the raw data for all sensors within the selected time range. This data is used to create the above charts. Users can download the data as a CSV file or create their own charts from the summary table.
