The Data Analysis Pipeline

After learning the main steps of a data analysis workflow, it’s useful to zoom out and see how those steps connect within a real system.

This broader view is known as the data analysis pipeline.

A data pipeline is the complete path data follows—from its source to its use in decision-making.

It includes all systems and tools that collect, move, store, clean, and analyze data.

In many real-world jobs, you won't just analyze data. You'll need to understand where it comes from, how it's processed, and who uses it next.

Every pipeline is different, but most share a few key stages:

• Source: where the data comes from (e.g. forms, sensors, APIs)
• Storage: where it's held (e.g. databases, cloud services)
• Processing: cleaning, filtering, or formatting the data
• Analysis: applying logic or models to find patterns
• Visualization: turning results into dashboards or charts
• Action: applying insights to guide real decisions