Issue link: https://resources.tangoanalytics.com/i/1539621
© Tango. All rights reserved. www.tangoanalytics.com The Occupancy Tracking Maturity Model 8 Factor 3: Results Technological capabilities and organizational processes govern the value an organization can glean from occupancy tracking. But as organizations mature in their implementation and understanding of occupancy tracking, they grow in their ability to capture value and obtain results from this process. Here's what that comes down to: 1. Data-driven decision making 2. Organizational alignment 3. Breadth of use cases Data-driven decision making Workplace decisions about how to optimize space are often rooted in assumptions, opinions, personal experience, and subjective feedback. But as organizations grow in occupancy tracking maturity, they recognize and trust occupancy data as a solid foundation for making workplace decisions and designing their desired outcomes. It becomes the basis for major decisions and minor adjustments alike, with models predicting likely outcomes as the organization tests and validates ideas. With lower occupancy tracking maturity, organizations may have manual processes for extracting value from occupancy data and incorporating it into workplace decisions. But they're still reliant on guesswork, predicting outcomes without proof, and making adjustments without the clarity occupancy tracking can provide. Organizational alignment When an enterprise has low occupancy tracking maturity, there may still be individuals, teams, or departments that recognize its value and attempt to harness the benefits. But the organization as a whole isn't there. Stakeholders aren't all familiar with the technology, what the data means, or how to use it. They don't trust it. This lack of alignment prevents businesses from leveraging occupancy tracking to its full potential and recognizing the range of value and benefits it can provide. It creates friction against greater investments in the technology and processes needed to collect and make use of more granular data. The organization can't justify frequent analysis, and doesn't see the point in real-time analytics. Organizations with strong internal alignment about occupancy tracking create a cycle of value generation: since they understand how it drives results, they rely on it more, make greater investments in it, and incorporate it in more applications. And thus they see more and better results.