We believe that data analysts are the most valuable employees of modern, data-driven businesses. We build tools that empower analysts to own the entire analytics engineering workflow.
We believe that data analysts should work more like software engineers. In doing so, they unlock their own creative potential and dramatically expand their impact on their organizations. We call this analytics engineering.
We believe that mature analytics workflows should have the same features that have made software engineering teams successful collaborators: version control, quality assurance, documentation, and modularity.
The code, processes, and tooling required to produce analysis are core organizational investments. We believe a mature analytics workflow should have the following characteristics so as to protect and grow that investment: environments, service level agreements, a design for maintainability.
Analysts spend an enormous portion of their time on repetitive, mundane tasks. We believe analysts’ tooling should automate these processes in the same way software engineers’ tools do today. Data ingestion, testing, modeling, and documentation should all leverage automation to a much greater degree than they do today.