About Thinklytics

What we believe

• Analytics failures are data problems, not tool problems.
• You do not need a new platform. You need your data fixed.
• AI fails for the same reason BI fails: the foundation is broken.
• Senior partners do the work. We do not hand off to junior analysts.

Track record

• 7+ years in business
• 60+ client engagements delivered
• 22+ industries served
• 95% client retention rate

We do not hand off work to junior analysts. A senior partner leads every engagement from kickoff to delivery.

We tell you the truth about whether you need to replace your software. Usually, you do not.

Most consultants build dashboards on top of broken data. We fix the foundation so you can trust your analytics.

We evaluate every engagement for AI readiness. We build foundations that work for BI today and AI tomorrow.

We start with a focused diagnostic and scale to multi-phase enterprise programs. You get senior delivery at every level.

Thinklytics offers data analytics and data governance consulting to help mid-market and enterprise companies build trusted BI systems and clean data for AI.

Senior-led data and AI consulting firm in Austin, TX. We fix broken data foundations for enterprises.

AI fails for the same reason BI fails: the foundation is broken.

Senior partners do the work. We do not hand off to junior analysts.

Enterprise consultant and solution architect. Saw the same data foundation failures across hundreds of clients.

Led BI architecture for a global hospitality brand. Managed platform adoption across tens of thousands of users.

Founded to fix the layer most consultants skip. 60+ engagements. 22 industries. Still doing the work.

We kicked off Thinklytics in Austin in 2018 with a simple thought: dashboards don’t tank because they’re ugly. They tank because the data’s wrong. You can have the slickest dashboard out there, but if the numbers don’t check out, it’s pointless. That’s exactly what we fix.

First things first, we get the data layer straightened out. That’s always our starting point. We’ve tackled this for all sorts of clients, regional health networks, major financial firms, government agencies, gaming companies, manufacturers, and fast-growing tech startups.

I spent six years at Tableau, and frankly, the same problem kept coming up again and again.

This happens all the time. Teams grab the latest tools, put together flashy dashboards, and impress the execs with demos. But give it six months, and suddenly no one trusts the data anymore. Finance has one revenue number, operations swears by another. And the analytics folks? They’re spending all their time justifying the numbers instead of actually finding insights.

Here’s what I keep seeing: the platform itself usually isn’t the issue. It’s the data behind it that causes the headaches. Broken pipelines, fuzzy metrics, no governance, and zero trust in any “single source of truth.” I’ve bumped into this again and again, in healthcare, finance, government, you name it. The tools work fine. It’s the foundation that’s shaky.

Back in 2018, I kicked off Thinklytics because that middle layer was a mess. We don’t just push software or throw dashboards on shaky data. We roll up our sleeves, dig in, figure out what’s really broken, and fix it so everything else runs smooth.

By 2026, AI is going to be everywhere. Everyone wants in. But here’s the thing, most companies will struggle because their data isn’t ready. That’s where we come in. We clean up the data chaos and get things working right.