To utilise data effectively, you must first understand how it’s collected, and which data points are worth analysing.
Technology plays a significant role in how a business manages its real estate portfolio. Consider investing in one or a few of these tools:
Data Analytics
This type of technology involves the collection and analysis of data related to space management. Leveraging advanced analytics enables businesses to identify inefficiencies, track performance, and make data-driven decisions.
Data that is used for advanced analytics can include:
Sensor Data
This is comprised of real-time data on space usage and environmental conditions.
- Occupancy sensors
- Lighting sensors
- Temperature and climate control
- Smart building (noise level and CO2)
- Power outlets and energy meters
Room Scheduling and Booking Data
It’s important to understand how meeting spaces are utilised. Scheduling data can be used to optimise room availability. Analysing this data involves:
- Reservation systems
- Meeting room data and visual floor plans
- Integration with collaboration tools
- Automated reminders and notifications
Automation Systems
Smart building technologies, including controls and sensors, can help monitor and regulate systems like lighting, HVAC, and other parameters, to maximise efficiency and manage spaces successfully. These tools help a business collect important data for better decision making. Data sets can include:
Space Utilisation Metrics
Analysing desk and workspace utilisation, while tracking trends in space usage, can help inform future planning. Some common metrics to track include:
- Occupancy rate (percentage of occupied spaces)
- Meeting room utilisation
- Space Turnover rate
- Peak utilisation hours
- Square footage utilisation
- Badge data
Space density, booking lead time, and unoccupied space analysis are good figures to track too.
Headcount Data
This involves integrating headcounts into space planning, and correlating headcount data with workspace needs. Some common metrics include:
- Total Headcount
- Full-Time Equivalent (FTE)
- Employee Turnover Rate
- Productivity metrics
- Cost per Hire
Monitoring headcount can help a business determine how much space is required for a given number of employees, helping teams anticipate future needs. It also helps a company find the most cost-effective way to allocate space.
Internet of Things
IoT devices can gather data on occupancy patterns and equipment performance. This information can then be used to optimise space utilisation and improve maintenance processes.
Market Data
This data type is particularly important to analyse when purchasing a new property or entering a new lease. It helps to identify what a given property is worth. Lease-cost benchmarking shows if it makes sense to renew a lease, and whether you’re overpaying or underpaying based on the market rate.
Other Types of Technology
- Artificial Intelligence (AI) and Machine Learning (ML)
- Cloud computing for off-site infrastructure
- Robotic Process Automation (RPA)
- Big data and analytics
- Cybersecurity
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