The unique power of Kodiak data

For healthcare CFOs, confidence always comes down to trust in the data. 

We’ve seen what happens when that trust exists. Teams walk into payor negotiations with clarity. They present to their boards with conviction. They make decisions knowing the numbers reflect reality. 

We’ve also seen the opposite. 

When data is inconsistent, incomplete, or difficult to validate, everything slows down. Decisions get second-guessed. Conversations become harder.  

Without trust in the data, even the best teams can’t move forward with confidence. Finance and revenue cycle teams find themselves spending time trying to prove what should already be clear. 

Numbers that reflect reality—in near real-time 

One of the many things that makes Kodiak different is the nature of the data itself. 

We’re not relying on surveys. We’re not asking organizations to self-report performance. We’re working with actual transaction-level data that flows through our platform every day from more than 2,300 healthcare providers and 375,000 physicians. 

That data, de-identified, reflects actual activity. It gives us and our customers a clear line of sight into what’s actually happening across the industry. Samples, best guesses, estimates, hunches, and wishful thinking are not part of the equation. 

That distinction matters. 

Survey-based data has inherent limitations. Organizations that are underperforming are less likely to participate. Metrics can be defined differently from one system to another. What looks like a benchmark can quickly become a distorted view of reality. 

With 50 million transactions aggregated daily, we’re able to create an accurate picture. 

We can calculate true, apples-to-apples metrics because we see the full lifecycle of an account—every charge, adjustment, and payment. We can reconcile what’s happening at each step, rather than relying on partial snapshots. 

It also allows us to answer a critical question that often goes overlooked: are you even seeing all of your data? 

In many environments, organizations rely on limited data feeds like remittance files. But without the underlying transaction data to reconcile against, it’s hard to know if that view is complete. What looks like a low denial rate might simply be an incomplete dataset. 

Without full visibility, it’s easy to draw the wrong conclusions. 

Built on long-term relationships 

The strength of our data isn’t just about volume. It’s about how we built our data set. 

Over the past two decades, we’ve developed deep, enduring relationships with our customers. That trust is what allows data to flow through our platform in the first place. 

We don’t need to go out and acquire new data feeds to create insights. The data is already there, embedded in the day-to-day operations of the organizations we support. 

We treat that responsibility seriously. 

We treat our customers' data as if it were our own. That mindset shapes how we handle it, how we protect and secure it, and how we use it to generate insights that are meaningful and actionable. 

That trust is the foundation for everything else. 

Turning data into something usable 

Having access to data is one thing. Making it useful is another. 

One of the challenges we see across the industry is that teams are often overwhelmed with information but still lack clarity. 

If you’re sitting in a CFO’s office, you’re not looking for more dashboards. You’re looking for answers. You’re looking for something you can act on. 

That’s something we’ve spent our entire lifetime refining. 

A good example is how we’ve evolved solutions like Payor Market Intelligence. Early on, we surfaced a wide range of data points. Over time, working closely with customers, we narrowed the focus to what actually drives decisions. 

Looking ahead 

When we step back, what stands out most is the combination of scale and integrity. 

We have visibility into a significant portion of the healthcare system, and because of how that data is sourced and managed, we’re able to generate insights that can’t be replicated elsewhere. 

At the same time, we’re still in the early state of what’s possible. 

We’re continuing to learn from the data, expand its applications, and explore how this shared platform foundation can create even more value for the organizations we serve. 

At the end of the day, the goal is simple: to provide a clear, reliable view of reality so healthcare leaders can make better decisions with confidence. 

Which payors are creating the biggest drag on your net revenue? Where is your team spending the most time? What is actually impacting your yield? 

Those are the insights that matter. 

We’re also continuing to invest in bringing different data sets together. We’re working on integrating hospital and physician data into a single foundation, for instance. 

That’s important because those parts of the business have historically been disconnected. Different systems, different workflows, and different ways of measuring performance. 

By bringing them together, we’re creating a more complete view of how the organization operates. 

A foundation for responsible data practices 

Data at this scale comes with responsibility. 

From the beginning, we’ve taken a compliance-first approach to how we handle and use information. We don’t take shortcuts. Every use case is evaluated carefully to ensure it meets legal, ethical, and regulatory standards. 

That discipline is part of what makes the data trustworthy. 

It also matters because of where the industry is going. 

There’s much discussion right now about AI in healthcare finance and revenue cycle. But AI is only as good as the data it’s built on. If the underlying data is incomplete, inconsistent, biased, or poorly governed, the outputs will reflect that. That’s where many organizations run into challenges. 

Our team at Kodiak has prevented the potential for these problems early on. 

Because of the scale, quality, and structure of our data, we’re in a position to build AI capabilities on a strong foundation. Just as importantly, we’re applying the same principles—compliance, risk awareness, and ethical standards—to how those capabilities are developed. 

We don’t see AI as a shortcut. 

We see it as an extension of the work we’ve already done to build a reliable, trusted data foundation. 



This article is part of Kodiak’s Healthcare Excellence Series, co-authored by CEO Derek Bang, Chief Product & Technology Officer Ankit Sharma, and Eric Boggs, Vice President, Platform Growth. 

Read more from the series:

• A glimpse into Kodiak’s product development approach 
• What building with our customers means, in practice