Go Big or Go Home: The Smart Approach to Space Planning Decisions

When it comes to deploying a Wi-Fi-based occupancy analytics system, the mantra is simple: Go big or make suboptimal space planning decisions. Large, enterprise-level deployments can uncover significantly more opportunities to optimize space usage, cut energy usage, and adjust cleaning and maintenance schedules to better fit your space needs.

And while the costs of scaling up can initially feel prohibitive, truly scalable solutions offer flexible pricing options that make enterprise-level deployment compelling—not to mention that the opportunity for ROI savings increases across a larger footprint.

Understanding a global portfolio or even a dispersed campus requires several layers of analytical depth. What we mean by that is, you don’t need seat-level or even room-level analytics across your entire organization. There are surely areas of more strategic value—like high value research spaces and shared flex working zones—where that information can have a lasting impact on student or employee experience, like high value research spaces and shared flex working zones.

On the other hand, badge data showing moments of ingress only, is far too limited a scope to help inform your space planning and workplace experience strategies beyond attendance. Sensors struggle to scale with speed and without incurring costs, blind spots, maintenance work, and missing metrics. Many who start with small-scale POCs have regrets when attempting to scale.

For that reason, floor-level occupancy analytics can help inform not only where you might uncover chronic patterns of underutilization, but also what areas are truly utilized as expected. Let’s dive into more reasons to choose a large-scale deployment at floor-level.

_Floor-level occupancy analytics can help inform not only where you might uncover chronic patterns of underutilization, but also what areas are truly utilized as expected._

1\. Speed: Time is of the Essence

One of the most significant advantages of a broad floor-level deployment with Lambent Spaces is the speed at which you can get started. Here’s what you need to know:

• Simple Setup: Deploying at the building or floor level requires minimal input. Just connect to the Wi-Fi system and provide a list of access points (APs).
• Quick Insights: Once connected, data can start flowing in just minutes, allowing you to tap into coverage for up to 10 million square feet almost instantly.

2\. Unlocking Additional Analytics

The benefits of going big extend beyond just speed. Large-scale deployments allow for comprehensive analytics:

• Journey Mapping: Understand how people move across multiple buildings and over time, while maintaining anonymity.
• Dwell Metrics: Collect critical data on space usage, such as:

- Percentage of employees following flex work policies.

- Average duration of stay on site for employees.

- Patterns of building usage for educational institutions.

These insights can help inform decisions about resource allocation, workspace design, and validate flexible work policy adherence. While you can understand dwell metrics for single buildings or floors or departments in your organization, having a full scope of your portfolio can help you understand the duration of time your population stays on site.

3\. Attractive Economics

Economically, larger deployments at the floor-level with strategic zoning are often more cost-effective than smaller deployments with zone-level deployment covering the entire deployment. This is due to the fixed cost and simplicity of floor-level zoning and the additive costs of zoning and calibration.

By leveraging a floor-level expansive approach, organizations can maximize their investment while ensuring comprehensive coverage and insights across their portfolios. To learn more about our pricing model, reach out to talk with sales.

4\. The Power of Retrozone

What if you want to dive deeper into specific areas after your initial deployment? Retrozone is a powerful new capability from Lambent Spaces allowing you to create zones post-deployment and run historical data back through those zones. This allows you to dig deeper into spaces without waiting to capture additional data.

• Drill Down Intentionally: Rather than zoning out everywhere just to realize some areas are being used as expected, having floor-level data first shows you where your greatest opportunities are. Retrozone allows you to focus your analysis on areas of strategic value.
• Fast Turnaround: This process can be completed in just a few days, enabling you to analyze past data at a zoned level quickly.

The Power of Scale for Occupancy Analytics

Opting for a larger deployment of your Wi-Fi-based occupancy analytic system not only speeds up the process but also offers richer insights, economic benefits, and flexibility for future needs. The capacity to scale occupancy analytics coverage is an enormous benefit for companies looking to enhance overall operational efficiency, make informed decisions, and create more usable spaces.