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Stop Paying AI Prices for Repeatable Data Work
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Video transcript
If you're using Claude for everything, you're basically paying genius prices for jobs that just need an intern. Every data team has two kinds of work. There are messy problems nobody has solved before. And there are data transformation, SQL scripts, Python processes, and operational workflows that run the same way every time. If you treat those two things the same and use Claude for both, you're wasting money on one of them every time.
For that first kind of work, AI is incredible. Give it messy data, ask it to design a transformation, build a new workflow, troubleshoot something broken, or explore an idea you haven't seen before. You can accomplish in minutes what used to take days or weeks.
But every smart answer costs you something because once you've figured out the logic, most of the value comes from running it reliably, not resolving it from scratch every time. That's the difference between probabilistic reasoning and deterministic execution. Once you know what the task is, once it's the same process every time, why are you still paying AI prices to figure it out again?
That's where Domo comes in. Claude is great at figuring out what to do. Domo is great at doing it over and over again. If you've got a process that's consuming thousands of tokens every time it runs using Claude, there's a good chance much of that work can move into Domo and run for a fraction of the cost. Instead of paying for expensive reasoning every time, you're paying a predictable operational cost: connecting data, transforming data with SQL, Python or Magic ETL, routing information, and executing the same sequence of steps every time. Once you've already discovered the process, those things can simply run. And because they're running as defined processes, you know what happened, when it happened, and what it cost.
And look, this was never AI versus Domo. Go wild with Claude, especially when you're connected to Domo. Use AI to solve the hard problems. Use it to discover the process. That's money well spent. Then hand the process to Domo to operationalize it day after day at scale without burning unnecessary tokens. Stop paying genius prices for the boring stuff. Explore with AI. Execute with Domo.
Speakers
Ben Schein
Chief Analytics Officer, SVP of Product
Ben Schein
Domo
Chief Analytics Officer, SVP of Product
Ben Schein has over two decades of experience leading user adoption and implementing large-scale BI and analytics initiatives that deliver quantifiable business value. As an eight-year Domo user and content creator, Ben brings empathy, intellectual humility, and transparency to his role as SVP of Product, in which he oversees Domo’s Product Management and UX teams, as well as guides overall product roadmap for Domo. Ben also leads Domo’s Strategic Architecture Group (SAG), which advises on architectural patterns for complex implementations. He is a passionate advocate of sparking the fire of data curiosity and innovation for Domo customers across the globe. Prior to Domo, Ben worked at Target Corporation where he led merchandising analytics and enterprise BI capabilities within the Enterprise Data Analytics and BI (EDABI) Center of Excellence. Ben holds a bachelor’s degree in Philosophy, Politics and Economics from the University of Pennsylvania and an MBA in Strategy and Finance from the Carlson School of Management at the University of Minnesota.
If you are using Claude for every data task, you may be paying genius prices for work that only needs reliable execution. Domo AI chief, Ben Schein, explains why AI is great for messy, unsolved problems, but repeatable data transformations, SQL scripts, Python processes, and operational workflows should not be re-solved from scratch every time they run. Use AI to discover the process. Use Domo to operationalize it at scale. Explore with AI. Execute with Domo.
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