From the course: SQL for AI Projects: From Data Exploration to Impact

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Value measurement

Value measurement - SQL Tutorial

From the course: SQL for AI Projects: From Data Exploration to Impact

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Value measurement

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- [Narrator] Once we've implemented an AI solution, the next step is to measure whether it made a difference. In this section, we'll explore how to design experiments, calculate uplift, and use statistical testing to validate the results all using SQL. To assess performance, we'll examine sales, visits, and interaction data across the experiment period from Jan to March 2026. We'll calculate simple metrics like total sales and incremental uplift, and apply statistical tests to assess significance. We'll also compare A/B split testing with sequential or year over year comparisons to see which approach fits best. When measuring impact, we focus on two main categories. First, sales metrics. These include total sales volumes and amounts broken down by tour products over time. And second, uplift metrics. How much additional activity we observed during the experiment when we compare to a baseline or control…

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