Workplace Analytics
Data Sources
The modern workplace produces a lot of data but are you getting the answers you need from it? Within workplace experience leveraging or even better combining these streams of information can create more efficient and adaptable offices. Lets dive into the different data sources and see what types are right for your business goals.
What is top tier Workplace Data?
- Booking Data + App Data + IoT Data + Access Data + Badge Data + IP Data
- Booking Data + App Data + IoT Data + IPS Data
- Booking Data + App Data
Blending Workplace Data Sources
GemEx ingests and normalises billions of data sets from various streams, on their own each type has pros and cons for supercharging your business decisions. Lets examine how blending these workplace data sets can be combined to give useful insights for real business change.
Sensor | Badge | IP | Bookings | |
Accuracy
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Attendance | ||||
Automation
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Behaviour Insights | ||||
Energy Control
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Occupancy
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Resource Planning | ||||
Security
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Space Usage Patterns |
Occupancy IoT Data
Accuracy is a big selling point with IoT data where you can see real-time and continual data streams. Devices can detect presence and length of stay to give further insights.
Improve space usage as IoT data doesn't just stop at Occupancy, it gives an understanding of how many people have accessed certain areas providing insight into what workplace types such as breakout areas or meeting rooms are proving most popular.
Enhance operational efficiency with sensors linked to digital twin of workspaces. By automating routine tasks and monitoring systems, IoT can reduce energy, and improve workplace efficiency.
Misinformation around Privacy has been an issue for IoT, not enough education has been provided and employees may think occupancy IoT sensors are tracking individuals when in reality sensors count numbers of employees not personal information.
Internet Dependent: For IoT devices to deliver results they rely on a reliable internet connection and power. Any disruptions can lead to data loss or inaccuracies. Businesses need to ensure they have a suitable set up before deploying.
Cost IoT can be more costly than IP and Booking data with hardware and installation fees.
Booking Data
Show behavioural trends as employees are able to book workspaces, equipment and services allowing workplace and facilities teams to plan appropriately.
Space Utilisation: Booking data helps organizations understand how desks and meeting rooms are used, enabling better space planning and optimization.
Flexibility: Employees can easily book workspaces that suit their needs, supporting hybrid work models and enhancing overall productivity.
Data-Driven Decisions: Organizations can use booking data to make informed decisions about office layouts, resource allocation, and future workspace investments.
Accuracy may be compromised by ghost bookings or no shows. Booking data may not always reflect actual usage due to no-shows or last-minute cancellations, leading to potential inefficiencies. To avoid this combine with IoT data.
IP Data
Enhanced Security: IP data helps monitor network activity, identifying potential security threats and preventing unauthorized access
Network Management: IP data provides insights into network usage, helping IT teams manage bandwidth and optimize network performance.
Geolocation Insights: IP tracking can offer valuable information about the geographical location of users, aiding in personalized content delivery and regional analysis
Privacy Concerns: Collecting and storing IP data can raise privacy issues, as it involves tracking potentially sensitive information without explicit user consent. Excessive or intrusive IP tracking can erode user trust and damage the organization's reputation.
Inaccuracies: IP addresses can change frequently, leading to potential inaccuracies in tracking and misattributing actions to the wrong users.
Legal Compliance: Organizations must ensure their IP tracking practices comply with data privacy regulations like GDPR to avoid legal consequences.
Badge Data
Attendance monitoring with entrance and exit times is made available. Improve security with information on attendance those who are accessing sensitive. Badge data enhances security by tracking who enters and exits specific areas, ensuring only authorized personnel have access.
Behavioral Insights: Badge data can reveal patterns in employee movement and interactions, offering insights into workplace dynamics and collaboration.
Space Utilization: Analyzing badge data helps understand how different areas are used, aiding in better resource planning and space optimization.
Granularity: Badge data often lacks the detailed, continuous monitoring provided by IoT sensors, capturing only entry and exit points.
Tailgating: The accuracy of badge data can be compromised by tailgating, where one person follows another through a secure door without swiping their badge.
Privacy Concerns: Continuous tracking of employee movements can raise privacy issues, making some employees uncomfortable.
Limited Context: Badge data may not provide context about the duration of presence or specific activities within a space, limiting its usefulness for certain analyses.
