Data engineering

Is the data you have the data you need?

Data doesn’t become information until it’s clean, accurate, and free from silos. Data engineers use a variety of tools to parse, test, store, and transfer data in a way that keeps it intact, up-to-date, and trustworthy. If your organization struggles with using the data it has, it doesn’t need more data; it needs data engineering.

“Nothing erodes trust in your data team more than publishing bad data.”
— Zach Wilson, DataExpert.io Academy

Our approach

When it comes to data engineering, Blue Tiger is technology agnostic. We use the tools that make the most sense for your organization, your budget, and your goals. Whether it’s a data warehouse, a business intelligence layer, or a simple pipeline. And we’ll do it using modern, sensible best practices like CI/CD, automated testing, monitoring, and logging. This ensures your data gets where it’s going on time and in a way that makes you feel confident about using or releasing it.

Why it matters

Every organization is data-driven, whether it realizes it or not. Data issues are a form of technical debt that makes it harder for your organization’s departments to work together by forcing them to independently verify what should be universally known. Blue Tiger recognizes the foundational role data plays in a modern organization and is ready to help.