Claude Code integration
i-spark configures Claude Code into your dbt and Power BI environment, governed from the start, tested against your actual setup, and handed over so your whole team can use it from day one.
For those that don’t have Claude Code connected to their data stack, i-spark configures it properly, governed from the start, and hands it over in one day.
And here's the thing, it guesses pretty well. The output looks completely fine. It looks like something a competent engineer wrote on a Tuesday afternoon.
So you take it, you try to use it, and then it starts breaking. Table names that don't exist in your project. A date table structure that doesn't match yours.
And you're sitting there thinking, okay, who has to fix this? It's the one person on the team who knows the codebase well enough to spot what's wrong, the same person who could have written it correctly in the first place.
It knows your tables, your sources, the relationships you've defined, and the tests you've already written. So when you ask it to generate a new staging model, it's looking at what you've already built and working within that.
Same with DAX. A measure for revenue year-over-year will reference your actual date table, your actual sales table, the relationship between them as it exists in your model. The output is specific.
And when something is specific, people across the team can read it, verify it, and use it.
Not a generic install. The configuration is validated against your project before handover. You don’t inherit a setup that works in theory.
Credentials stored securely, rotation documented, ownership assigned. The Power BI connection is more credentials-sensitive than most teams expect, we handle this at setup, not as an afterthought.
The MCP server configuration lives in the repository alongside everything else. The next person who joins knows how to use it. No tribal knowledge required.
You end the day with a walkthrough. The setup is yours, there is no ongoing dependency on i-spark. You own it completely.
The connection changes what’s possible for everyone on the team,
not just the person who built the setup. Here’s what it unlocks, per product.
If you work with dbt, you know the parts that slow you down. Writing the YAML, adding the tests and keeping the documentation in sync with what the model actually does. The parts that don’t require much thinking but take a significant amount of time. Claude Code, working directly inside your Power BI project via […]
The part that takes care is making it production-ready, tested, governed, and built so the whole team can use it rather than just the person who configured it. That is what the sprint delivers.
The configuration is set up to live in the project repository alongside everything else, so every member of the team has access to the same setup from day one.
What Claude Code is expected to do, what it is not, and what the review process looks like, are agreed upfront and documented, so the boundaries are clear before anyone pushes AI-generated code to main.
The setup is verified against your real project structure, not a demo environment. You see it working on your data before the day ends.
dbt Core and dbt Cloud have different connection patterns. Power BI workspaces vary in what they expose. The configuration is matched to your specific version and setup.
The layout adapts to your current state at the office, on the go or the big screen during important C-level meetings.
Before you commit to the final look of a dashboard, we offer a complete mockup, you can share your feedback and ensure the final result meets your expectations.
Dashboards, assessments, stack setup, and custom builds. Backed by expert analysis to support data-driven decision-making and strategic growth.
Custom Power BI dashboards on top of your existing data sources, connected to your live systems, designed around your business logic, and built so you can open them and trust what you see immediately.
Looker implementation from the ground up: LookML data model, custom dashboards, and access governance for businesses that need a governed analytics layer they can actually rely on.
Fully custom Looker Studio dashboards on top of your Google data sources: GA4, Google Ads, Search Console, BigQuery, so you gain a live, accurate view of performance.
As an official Klipfolio partner, we build custom dashboards for real-time KPI monitoring across any data source, deployed faster than heavier BI platforms and backed by certified partner expertise.
If your business runs on Simplicate, we connect directly to your environment and build a custom dashboard that gives you a live overview of hours, projects, pipeline, and margin.
Before you invest in data tooling, platforms, or hires, a data assessment gives you an honest picture of where your setup stands today: what is working, where the gaps are, and a plan for what to do next.
Connect Claude Code directly into your dbt and/or Power BI environment in 1 day, tested against your models and datasets; handed over with a walkthrough so you can use it immediately.
For B2B agencies and consultancies that need practical data insight, we build custom solutions covering live dashboards, structured data outputs, automated KPI alerts, and interactive reports.
Looking for something you don’t see in our modular product range? Our data and AI expertise goes well beyond what is listed here. Tell us what you need and we will build it.