We help teams build reliable, scalable analytics they can trust.

We design and implement governed BI platforms using Microsoft Fabric, Power BI, Azure, and Databricks. From data warehouses and semantic models to automated pipelines and data products, we modernize BI stacks so insights are accurate, scalable, and easy to maintain, guided by our STEAM principles.

Dataracity was founded by Luke and Amanda after repeatedly encountering the same issue across organizations: businesses were collecting more data than ever, yet struggling to turn it into clear, trusted insight. Reports took weeks to deliver, decisions relied on spreadsheets few people trusted, and analytics teams were constantly firefighting. They believed it didn’t have to be this way.

Between them, Luke and Amanda bring over 30 years of experience in Microsoft Business Intelligence. They’ve built data warehouses from the ground up, navigated complex data environments, and delivered critical reporting under real-world pressure. Through this work, they discovered a shared strength: bringing structure to chaos and building analytics platforms teams can rely on.

With deep roots in Microsoft BI, supported by strong SQL and Python expertise, Dataracity focuses on more than tool implementation. The team designs analytics platforms aligned to how each business truly operates, from scalable data models to efficient, cost-aware architectures built to last.

From the beginning, the company has been guided by a simple philosophy: best practices are the foundation, not an afterthought. By prioritizing scalability, transparency, and efficiency, Dataracity delivers environments that perform today and remain maintainable as organizations grow.

Today, Luke and Amanda lead Dataracity in helping organizations modernize with Microsoft Fabric, Azure Synapse, and Databricks, enabling governed self-service, faster decisions, and analytics teams that can focus on creating value, not fixing problems.

Dataracity Inc

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