Unlocking Smarter Property Decisions with Data and AI

In the fast-paced world of commercial real estate (CRE), the ability to make smarter property decisions is a game-changer. Yet, many property owners find themselves entangled in a web of complex data sources and digital infrastructure, struggling to extract meaningful insights. This is where the expertise of industry leaders like OpticWise can turn the tide. In the latest episode of Peak Property Performance®, Drew Hall and Bill Douglas delve into a conversation with Shea Fallick, a product leader at Cortland, to uncover the secrets of data collaboration and AI integration that can elevate your property operations. If you're ready to transform the way you approach data, this discussion is your starting point. Listen to the full episode.

Building Trust Through Data Governance

Trust is the cornerstone of any successful data initiative. In our podcast, Shea Thalek shares how Cortland has established robust data governance practices that build trust across technical and non-technical teams. At the heart of these practices is the understanding that transparency and clarity are paramount.

One of the key methods Shea discusses is the use of data dictionaries and regular data refresh updates. According to Shea, these practices might seem trivial but are essential in establishing confidence. "Being able to see the last time the data was refreshed can be a really big win for some folks," he explains. This ensures that everyone, irrespective of their technical expertise, can rely on the data presented.

Moreover, Shea emphasizes the importance of simplifying the data presented to end-users. By the time a dashboard reaches the user's desk, it should be as straightforward as possible, directly linked to business outcomes. This approach not only aids in comprehension but also in actionability, ensuring that data drives decision-making rather than overwhelming stakeholders.

Bill: I love the simplicity, Shay, because that is really hard to do. A lot of times people want to see everything, and then the dashboard is, it's unfollowable if that's even a word, but it's a mess.

Effective Data Collaboration Strategies

Collaboration is not just a buzzword; it's a critical component of successful data integration. In the episode, Drew and Bill discuss with Shea how to move from insights to implementation by fostering collaboration among diverse teams. The secret lies in starting with the business problem rather than the data itself.

Shea shares a compelling example of how a simple conversation about machine learning led to a significant project around sustainability initiatives. By engaging stakeholders early and often, Cortland ensures that data projects are aligned with real business needs. "You never want to deliver data or a product just for the sake of delivering it," Shea notes. This focus on business relevance ensures that data initiatives are not only adopted but also impactful.

This collaborative approach is part of a broader strategy that involves prototyping with fake data to visualize potential outcomes before delving into actual data pulls. Such steps are critical in aligning expectations and ensuring that the data solutions developed truly address the stakeholders' needs.

Bill: So what I heard you say is don't solve the technical or the data problem until you know the business outcome that's desired, because it might not be contiguous.

Case Studies: Data-Driven Decisions in Action

Real-world examples are powerful tools in illustrating the potential of data-driven decision-making. Shea recounts an experiment from his time at PadSplit, where data insights materially changed an operating decision. By setting up an A-B testing infrastructure, PadSplit was able to tackle a common issue in co-living environments: cleanliness.

Through this experiment, they implemented a chore tracking application that significantly reduced complaints, showcasing the tangible impact of data insights. "We actually saw around a 90% reduction in cleanliness complaints in that group over a period of three months," Shea shares. Such results underscore the value of data-driven strategies in improving operational outcomes.

This case study is a testament to the power of data when applied thoughtfully and strategically. It reinforces the OpticWise mantra: "If you don't own your data & digital infrastructure, your vendors do." By taking control of their data, property owners can drive meaningful change and achieve Peak Property Performance®.

Case Studies: Data-Driven Decisions in Action

In our conversation, Shay Thalek provided a compelling case study from his time at PadSplit, a co-living marketplace. This example highlights the tangible benefits of data-driven decision-making. At PadSplit, the challenge was to improve cleanliness in shared living spaces, a common issue in co-living arrangements. By implementing an A-B testing infrastructure, the team could trial different interventions to drive better outcomes.

One particularly effective method involved introducing a system where residents could track and share their completed chores. This simple yet innovative solution led to a remarkable 90% reduction in cleanliness complaints within just three months. The success of this initiative not only enhanced resident satisfaction but also underscored the power of data-backed experimentation in solving practical problems.

Bill: Wait, wait, cleanliness in high schoolers? I was about to say I have like a 90% improvement. Man, I want to see that on that forum.

This example illustrates the potential of leveraging data insights to drive operational improvements. It’s a testament to how data, when used effectively, can lead to substantial enhancements even in areas traditionally resistant to change.

Overcoming Status Quo Bias in CRE

One of the significant hurdles in the CRE sector is overcoming the inertia of long-established practices. Drew Hall and Bill Douglas explored with Shay how organizations can embrace change despite their entrenched habits. Shay emphasized the importance of leadership buy-in, noting that having the entire C-suite on board with technological and data-driven initiatives can significantly ease the transition.

Shay also advocated for involving teams in design-thinking workshops, which can demystify the process of innovation and encourage collaborative problem-solving. He shared an instance where involving a diverse group of stakeholders in a year-long product planning workshop resulted in unexpected enthusiasm and engagement, even from those initially skeptical.

Drew: Well, okay. So let's think about culture and collaboration. How do you get a property team or even an executive team to embrace change when they've been doing things the same way for 20 or more years?

By creating an inclusive environment and showing the tangible benefits of new approaches, Shay argues that teams can overcome status quo bias and become active participants in the journey toward modernization and efficiency.

Agentic AI and Future Data Science Trends

Looking to the future, Shay Thalek shared his excitement about the potential of agentic AI within the real estate sector. Agentic AI, which allows for the automation of processes through tools like ChatGPT interacting with various systems, holds promise for streamlining operations and enhancing tenant experiences. Shay sees vast potential in deploying AI for tasks ranging from lease management to predictive maintenance of facilities.

Moreover, Shay highlighted the ongoing relevance of machine learning, which continues to offer predictive capabilities that are invaluable in real estate operations. From forecasting rent trends to anticipating maintenance needs, these technologies can be pivotal in pre-emptive decision-making.

As Drew noted, the critical factor remains the data itself. Without proper data ownership and a robust digital infrastructure, the full potential of these technologies cannot be realized. As OpticWise often reiterates, "If you don't own your data & digital infrastructure, your vendors do."

Actionable Takeaways for CRE Owners

For commercial real estate owners looking to harness the power of data and digital infrastructure, the insights from this discussion offer several actionable steps:

• Start with the Business Problem: Identify the core issues you face and leverage data to find solutions. Engage stakeholders early to ensure alignment and buy-in.
• Embrace Experimentation: Use A/B testing to validate your strategies. This approach allows for data-driven decision-making and brings clarity to what works.
• Foster a Culture of Innovation: Encourage teams to participate in workshops and collaborative sessions. This not only demystifies new technologies but also builds a culture open to change.
• Leverage Technological Advances: Stay informed about emerging technologies like agentic AI and machine learning. These tools can offer significant competitive advantages when implemented effectively.

To dive deeper into these strategies, consider exploring the Peak Property Performance® book and listening to more episodes of the Peak Property Performance® Podcast.

About OpticWise: OpticWise provides owner-controlled data & digital infrastructure for commercial real estate — from PPP Audits to portfolio-wide intelligence. See how we operate or read customer outcomes.