Generative BI with Amazon Q

For years, getting answers from your data meant knowing how to build charts, write formulas, or wait on someone who did. Generative BI changes that: you simply ask a question in plain English and Amazon Q builds the visual, summary, or calculation for you. For a busy mid-market team without a dedicated analyst, this is the difference between guessing and knowing — and it means more people in your business can get answers themselves.

As you watch, notice how little technical skill is actually required. A few concrete things to look out for: how a question typed in everyday language turns into a finished chart; how Amazon Q can build a whole dashboard from a prompt rather than one visual at a time; how it writes plain-English summaries that explain what the numbers mean; and how you can refine a result by simply asking a follow-up.

Also pay attention to the moments where the presenter edits or corrects what Q produces. Generative tools give you a strong first draft, not gospel — seeing how easy it is to tweak the output is just as useful as seeing it work the first time.

Everything in the video assumes your data is clean, connected, and ready to be questioned — which is exactly what your Intellova setup gives you, with all your business data unified in one place. Once that foundation is there, asking Amazon Q a question draws on your real, joined-up numbers rather than scattered spreadsheets. So as you watch, picture these same prompts running against your own dashboards: that's the experience this lesson is preparing you for.