We’re 
experts 
in change.

We're a Snowflake and Databricks Consulting Partner, and a Qualtrics Platinum Consulting Partner—those are our formal partnerships, and where we do our deepest work. But through that work, we've become familiar with hundreds of SaaS applications, and we frequently work with clients whose data lives in homegrown, legacy technology. In short: we've seen it all. No data challenge is too messy or too scattered for our team. Most client use cases end up having 10+ systems to map.

Regardless of source or complexity, our process doesn't change based on what we find: the same regimented approach to defining data sets, establishing data dictionaries and building the architecture and models behind the semantic layer applies no matter the platform. If your situation doesn't map neatly onto our formal partnerships, tell us about it—we'll figure out the right approach together.

No. Your listening program and however you're reporting on it today—Qualtrics, dashboards, whatever tools you're already using—stay exactly where they are. What changes is what happens next: we connect what your listening program captures to the operational and behavioral data already living in your data cloud, so that signal becomes one input feeding real decisions instead of sitting in a report on its own.

That's a common starting point, not a blocker. We can help you figure out what's already there and, if necessary, what's worth standing up—guided by your goals rather than a one-size-fits-all recommendation. And where it makes sense, we can prove value before you commit to new infrastructure at all, by running an early pilot inside our own environment, so you see results before making a bigger platform decision. If you're already on a different data cloud platform—BigQuery, Microsoft Fabric or something else—tell us. Snowflake and Databricks are where we've built the deepest expertise, but the approach isn't locked to only those two.

That's a common and legitimate obstacle, and we don't ask you to resolve it before we start. Other teams are often concerned about who has access and how their data gets used, and that's fair. So we begin with one proof of concept: one table, read access, one use case, built in a separate workspace that never touches production—enough evidence of value before anyone has to commit further or navigate internal hurdles.

For a data cloud pilot, the ask is intentionally light: one business owner to keep the use case anchored, and read access to a handful of sources rather than your entire environment. Beyond that, we'll need someone from your data team for a few hours a week to provide example data files and a data dictionary, help us troubleshoot data connections as we clean and test, and participate in user acceptance testing before anything goes live.

We take data privacy and security seriously with every client. Walker complies with all industry laws and regulations, including global data privacy regulations, and any work inside your data cloud is governed by your own access and security policies—nothing moves outside them. We're also qualified to support clients who leverage Qualtrics' FedRAMP solution. For more, see our Privacy Policy.