Most businesses are swimming in data and starving for insight. The gap isn't the data, it's having the right systems to make it readable, reliable, and actually used.
Start a conversation →A lot of businesses have more data than they know what to do with. The problem is usually one of three things: the data lives in too many places, it takes too long to pull together, or the reports that exist don't answer the questions that actually matter.
Data and analytics work starts with the question you're trying to answer, not with the tools you already have. From there we design the right infrastructure, whether that's a simple dashboard pulling from a spreadsheet or a full pipeline connecting multiple systems into a single source of truth.
Intelligence analysis is fundamentally a data problem: too much information, too little time, high stakes for being wrong. Dustin spent years learning how to cut through noise and surface what matters. That same discipline drives every analytics engagement: building systems that give you signal, not more noise.
The most common mistake in analytics is building the system before defining what it needs to tell you. We start with the decision, then work backward to the data.
We start by asking what decisions you make repeatedly and what information you wish you had when making them. The questions define the reporting requirements, not the other way around.
We look at where your data actually lives, how clean it is, and what it would take to combine it into something useful. Most businesses have better data than they think, it's just scattered.
We build the plumbing that connects your sources and the interface that makes the output readable. This is almost always simpler than businesses expect once the questions are clear.
The first version almost always prompts new questions. We expect that and build time in for iteration. We also walk your team through what they're looking at so they can use it without us.
The numbers are somewhere, in a spreadsheet, a CRM, a QuickBooks report. But pulling them together takes an hour and by the time you have them, the meeting is over.
Every Monday someone pulls the numbers and updates the file. If that person is out, nobody knows where you stand. That's not a reporting system, it's a dependency.
The tools are generating data, the CRM has records, the website has traffic numbers. But turning those into something actionable requires more bandwidth than your team has available.
Analytics infrastructure that updates automatically and gives your team answers without requiring a data analyst on staff.
A clear picture of where your data lives, what it contains, and how it connects, including gaps and quality issues worth addressing.
A scheduled process that pulls, cleans, and combines your data sources on a defined cadence, no manual exports required.
A reporting interface built around the questions that matter to your business, updated automatically and accessible to your team without technical setup.
Automated notifications when key metrics move outside expected ranges, so you find out when something changes instead of discovering it in next month's report.
No pitch deck, no discovery call that leads to another discovery call. Just an honest conversation about what you're trying to do and whether we're the right fit to help.