From Vendor to Partner: Why the Age of Data Dumping Is Over

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By Thomas Wale, President at Unacast

In a world flooded with data, customers don’t need more signals, they need someone to help them interpret what those signals mean. They need guidance. They need partnership. The days of simply handing off a data dump and hoping for the best are long gone.

In the age of data abundance, the real value lies in how well you help others use it.

The advantage comes from the translation layer - how well that data is interpreted, contextualized, and turned into insight. Customers don’t want vendors. They want collaborators who can help them think better and act smarter.

The shift: why a “vendor” is no longer enough

Over the last five years, the role of location data providers has changed dramatically. Historically, a vendor (the soon-to-be old term) would deliver raw data and maybe provide some baseline documentation. The burden of making it useful—parsing, cleaning, integrating, analyzing—fell on the buyer. But today, that approach simply doesn’t scale.

Modern business decisions are too complex and too fast-moving to allow for months of integration cycles or trial-and-error modeling. Organizations need data partners who can help them identify the right questions, guide technical implementation, and stay engaged through evolving business needs.

Whether it’s site selection in retail, demand forecasting for supply chains, or zoning and footfall analysis in commercial real estate, the data needs context. It needs structure. It needs a human in the loop. And most of all—it needs a partner who understands the why behind the data.

Forget the “dump-and-run” model

Too many legacy data brokers still operate under the “dump-and-run” model. They hand over massive volumes of location data—gigabytes or even terabytes of raw device signals—and leave it to the customer to figure out what to do with it. No guidance. No enrichment. No support.

That model may have worked when data was novel. But today, it’s not only outdated—it’s dangerous.

Raw data without structure can lead to misinterpretation, wasted time, or flawed insights. And worse, it often creates risk, privacy gaps, inconsistent methodologies, or poorly understood metrics that customers use to make multi-million dollar decisions.

At Unacast, we believe this approach fails to deliver on the promise of location intelligence. That’s why we’ve invested heavily in building infrastructure that doesn’t just collect and deliver signals—it turns them into insights that work within our clients’ workflows.

What Strategic Partnership Really Looks Like

Being a strategic partner isn’t about hand-holding or overservicing. It’s about embedding real, functional expertise into the relationship—whether that’s technical guidance, product alignment, or business model evolution.

At Unacast, we aim to be an extension of our customers’ data, analytics, and strategy teams. That means:

  • Helping our customers ask better questions before any data is licensed

  • Supporting on delivery formats to meet internal analytics and data frameworks

  • Aligning on KPIs and collaborating to ensure that what we’re delivering is not just usable, but impactful

This shows up in our team structure, too. Our sales organization operates more like consultants than closers. Our engineering and product teams are involved early to ensure what we build works in the real world. And our Client Success teams are measured not on ticket closure, but on outcomes achieved.

We’ve seen this approach pay off again and again. A great example of this partnership model is our work with Lake Nona, a master-planned smart city in Orlando, Florida. Lake Nona's development team sought to understand visitor origins, visit duration, and activity patterns to gain deeper insights into community engagement and movement trends. Unacast provided geofencing analysis of mobile device data across the community and Town Center, offering precise insights into visitor behavior.

“We found that visitors to Lake Nona were coming from a much wider area than we previously anticipated. We were able to use that precise catchment area in conversations with major retailers and to inform our overall strategy."
Juan Santos, SVP Brand Experience, Tavistock Development Company

By providing these insights, Unacast helped Lake Nona refine its long-term strategic plan, ensuring the community's growth would align with the interests of its target markets. This collaboration exemplifies how strategic partnerships can drive meaningful outcomes.

The result wasn’t just a data feed. It was a strategic capability they didn’t have before.

The Future Belongs to Partners

Location data is no longer a niche tool—it’s foundational. It touches every decision from investment strategy to public safety to consumer experience. But it only creates value when it’s connected to real-world decisions.

That’s why the companies who will lead in this next wave of data intelligence won’t be the ones with the biggest datasets. They’ll be the ones who serve as true partners—bringing their customers closer to the decisions that matter most.

At Unacast, we’re building for that future. Because we believe data should drive action, not confusion. And partnership—not volume—is what unlocks real impact.

Frequently Asked Questions

Discover how analyzing real-world movement patterns can reveal valuable trends in customer behavior, optimize business operations, and enhance strategic decision-making.

What is site selection and why is it important?

Site selection is the strategic process by which businesses identify, evaluate, and choose optimal locations for their operations. This process is paramount as the location of a business directly influences factors such as accessibility, visibility, profitability, and market longevity. For retailers, the right site can mean higher customer footfall and increased sales. In real estate, a well-selected site can promise lucrative returns on investment and tenant stability. Financial service firms leverage site selection to position their branches or ATMs in high-demand areas. Essentially, site selection plays a pivotal role in ensuring the success and growth of a business by aligning its physical presence with market opportunities and demands.

How does location intelligence enhance site selection?

Location intelligence refers to the harnessing of geospatial data to derive actionable insights, which can significantly enhance the site selection process. By analyzing data like consumer demographics, foot traffic patterns, competitor locations, trade area data, and more, businesses can make more informed decisions about where to establish or expand their operations. Location intelligence allows for a deeper understanding of market dynamics, revealing hidden opportunities or potential pitfalls. For instance, retailers can identify gaps in the market, real estate professionals can forecast property value trends, and financial service providers can assess areas with high customer demand. Advanced tools, like those offered by Unacast, further refine these insights by leveraging AI and machine learning, enabling more precise and timely decision-making.

What challenges do businesses face in the site selection process?

Unacast provides invaluable support to businesses during the site selection process through its advanced location data and analytics software, all powered and refined by Artificial Intelligence and Machine Learning technologies. The company offers a suite of products designed to deliver accurate, actionable, and comprehensive location intelligence. This data proves crucial for businesses looking to understand consumer behavior, analyze traffic patterns, evaluate competitor locations, and much more. With Unacast’s robust tools, businesses in retail, real estate, and financial services can derive insightful information necessary for making strategic, informed site selection decisions. The platform not only provides reliable data but also ensures it is readily actionable for businesses, whether they are looking to open a new store, invest in property, or expand their financial services to new locations.

What types of location data are crucial for informed site selection?

Demographic data offers insights into the age, income, and lifestyle of people in a particular area, helping businesses understand their potential customer base. Foot traffic data provides information on the number of people visiting a location, which is crucial for retailers to estimate the store's potential popularity and for real estate professionals to assess an area's vibrancy and demand. Geographic Information System (GIS) data helps in visualizing and analyzing geographical details, supporting companies in identifying accessible and strategically located sites. Understanding the proximity to competitors, accessibility, and the socio-economic profile of the surrounding areas is also vital. Unacast’s platform aggregates and analyzes these various data types, providing a holistic view that significantly empowers businesses in their site selection endeavors.

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