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By Keboola
You can build Data Apps inside Keboola with Kai. But what if you prefer working with Keboola via MCP, in Claude Code, Cursor, or another AI-powered editor? Want to build a JavaScript Data App that Kai doesn't support yet? That's what the Keboola AI Kit is for. It's a set of skills you install into your agent so it knows how to work with Keboola - how to query your data, how to structure a Data App, how to deploy it. Here's how to set it up.
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By Keboola
Finance leaders at top companies all describe the same frustration: scattered data is blocking them from being the strategic partner their organization needs. This guide names the blind spots — and shows what becomes possible when you finally close them. You know what your P&L says. But do you know what your cash position will look like in 90 days?
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By Keboola
Building your own financial data system sounds lean, flexible, and smart — right up until year two. This guide gives you the honest picture most vendors won't: what a production-grade finance system actually costs, what teams almost always miss, and a decision framework built for CFOs who need to get this right the first time. Your data team is confident. The architecture looks solid.
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By Keboola
This is a Data App that collects structured product submissions from a team, validates them, queues them for approval, and writes approved entries directly to a Keboola table. I built it with Kai in one conversation. No Google Sheets. No broken column headers. No emailing CSVs. If you've ever needed your team to submit structured data - new products, budget inputs, campaign briefs, vendor details - and the spreadsheet approach keeps falling apart, keep reading.
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By Keboola
Data Apps are interactive web applications that run directly in your Keboola project. They let you visualize, explore, and interact with your data without needing external BI tools. Think of Data Apps as your custom dashboards, built exactly how you need them. Now, let's see how Kai makes building Data Apps effortless.
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By Keboola
Three departments walk into a board meeting. Sales says revenue grew 12%. Finance says 9%. Operations says 8%. Nobody is technically wrong, but it still slows every decision down. This template should give you a head start to fix that.
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By Keboola
If you've just enabled Kai in your Keboola project, you might be wondering: "Okay, now what?" This guide walks you through your first conversation with Kai, following the same steps I demonstrate in my introduction video.
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By David Esner
Last week we publicly released Kai, our in-platform AI assistant, a data engineering agent that can build integrations, write transformations, debug failures, and document your entire project. I'm extremely proud of the team and what we've delivered. Yes, everyone has an AI assistant now. But most are chat wrappers that look great in scripted demos and fall apart with real work.
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By Keboola
Navigate to Workspaces → SQL Editor in your Keboola project. Write or paste your SQL query in the editor.
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By Keboola
You've outgrown Excel for consolidation. But what comes next? Anaplan starts at $200K+ - and still assumes your data is already clean. Your data team wants to build something custom - but "three months" always becomes twelve. And every vendor says they're the answer. This guide compares every realistic consolidation path side by side. Real costs, real timelines, real trade-offs. Including when staying with Excel is still the right call.
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By Team Keboola
Known for their delicious food, Brett Kokot and Jeff Miller talking about their experience using Keboola and how they were able to transform their processes using Keboola, Snowflake and Looker for all their data needs.
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Keboola is a cloud based data platform that helps clients combine, enhance and publish crucial information for their internal analytics projects and data products.
We significantly reduce or eliminate:
- Time spent on repetitive maintenance tasks.
- Long adoption and learning curves with outdated systems and processes.
- Tedious and drawn-out menial responsibilities which detract from efficiency.
Building on knowledge already plentifully available in the market such as SQL and R, we are able to achieve unparalleled Time to Value with our implementations. Many of our customers are completely self-serving from the inception of their project.
Let us show you what your company has been missing.