See the art of what's possible with Amazon Q in QuickSight using historical college basketball data. We'll be using Q to ask for predictions on this year's college basketball tournament, answer simple questions, and find hidden data insights.
Technical Level (100-400): 200
Find the datasets used in the demo and explore on your own here! https://community.amazonquicksight.com/t/march-18-20-datasets-for-scenarios-use-basketball-tournament-insights/43872
If you have any questions on this topic, use the tag #qls-Scenarios in our community: https://community.amazonquicksight.com/tag/qls-Scenarios
Resources:
Amazon Q Corner in the QuickSight Community: https://community.amazonquicksight.com/c/learning-center/amazon-q-corner/49/none
Sales Scenario from December QLS: https://www.youtube.com/watch?v=c_hBwYtx7R4
Scenarios What’s New announcement: https://aws.amazon.com/about-aws/whats-new/2024/12/scenario-analysis-capability-amazon-q-quicksight-preview/
Scenarios documentation: https://docs.aws.amazon.com/quicksight/latest/user/scenarios.html
What’s new from re:Invent 2024: https://community.amazonquicksight.com/t/what-s-new-with-amazon-quicksight-bsi102-aws-re-invent-2024/39649
Amazon Q in QuickSight product page: https://aws.amazon.com/quicksight/q/scenarios/
Free trial sign-up: https://signin.aws.amazon.com/signup?request_type=register
Chapters:
00:00 Session introduction
00:18 Agenda overview
00:49 Amazon Q in QuickSight overview
01:24 Scenarios with Amazon Q
02:26 Demo background - Tournament history
04:31 Demo background - Dataset information
08:49 Demo: Dashboard overview
11:44 Demo: Scenario prompt and suggestions
14:14 Demo: Multi-step analysis
20:47 Demo: Asking follow-up questions
22:44 Demo: Adding a new thread
23:00 Demo: Modifying a block
30:14 Demo: Adding in a new dataset
40:27 Demo: Adding another thread