At re:Invent this year we launched Scenarios, an AI-assisted data analysis experience that helps any business user to make better decisions, faster. Learn how scenarios guides users through every step of advanced data analysis—suggesting analytical approaches, automatically analyzing data, surfacing relevant insights, and summarizing findings with suggested actions—in response to natural language prompts.
Technical Level: 200
Pre-requisite knowledge:
Basic knowledge of Amazon Q and QuickSight
Questions on this topic can be asked in our community using the tag: #qls-AmazonQ: https://community.amazonquicksight.com/tag/qls-amazonQ
Resources:
Scenarios AWS What's New announcement: https://aws.amazon.com/about-aws/whats-new/2024/12/scenario-analysis-capability-amazon-q-quicksight-preview/
Scenarios AWS Blog: https://aws.amazon.com/blogs/aws/solve-complex-problems-with-new-scenario-analysis-capability-in-amazon-q-in-quicksight/
Scenarios sizzle reel: https://www.youtube.com/watch?v=yIE3rsG9qhk
Scenarios short demo: https://www.youtube.com/watch?v=saMXHIlE2e4
Amazon Q Corner in the QuickSight Community: https://community.amazonquicksight.com/c/learning-center/amazon-q-corner/49/none
Amazon QuickSight product page: https://aws.amazon.com/pm/quicksight/
Chapters:
00:00 Session introduction
00:42 Scenarios with Amazon Q overview
02:10 Demo: Use case background
04:48 Demo: Dashboard overview and problem statement
06:20 Demo: Using natural language and data to begin your scenario
09:00 Demo: Multi-step analysis with generated calculations, visuals, and narrative
13:25 Demo: Amazon Q-generated recommendations
17:08 Demo: Going down threads and adding more data files for additional insights
23:30 Demo: Creating parallel threads
29:27 Demo conclusion