Data Snacks Video — ELT+VA

In this Data Snacks episode, Daasity CEO and Co-Founder, Dan LeBlanc, explains the all-important ELTVA: Extract, Load, Transform, Visualize, Analyze. In other words, the parts of a data analytics stack. Learn what goes into each component and why this matters for eCommerce brands.

The Data Analytics Stack: Extract, Load, Transform, Visualize, Analyze

In every complete data analytics stack, there are tools or custom-built operations that perform the following functions: data extraction from raw data sources (Extract), data loading into a data warehouse (Load), code to optimize data for visual presentation (Transform), beautifully presented data in graphic form (Visualize) that allows your team to Analyze how your brand is doing.

Here's Daasity Dan for more: