What is the difference between data analysis and data discovery?

Data discovery is a preliminary step focused on exploring and understanding raw data, often visually or interactively. It helps identify what data exists, its quality, and where potential insights might lie. Data analysis, on the other hand, involves applying statistical or computational techniques to test hypotheses and derive conclusions.

While discovery is more about exploration, analysis is about explanation. A data engineering company helps power both stages by delivering clean, reliable data and scalable infrastructure. Their solutions make it easier for analysts and business teams to move seamlessly from discovery to actionable insights.