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Amazon Web Services (AWS) has unveiled an innovative scenario analysis capability within Amazon Q, part of its QuickSight platform. Amazon Q is a natural language-powered query tool designed to simplify data exploration by enabling users to ask questions in plain language and receive accurate, actionable insights. This cutting-edge feature aims to revolutionize the way businesses tackle complex problems, enabling faster and more intuitive data analysis.
The new scenario analysis capability is designed to assist business users in performing in-depth data analyses without requiring extensive technical expertise. By using natural language prompts, users can simply pose a question—for example, "How can our new Chicago store perform as well as our flagship New York store?"—and Amazon Q takes over. It suggests appropriate analytical approaches, analyzes the data, and presents results complete with visualizations and actionable recommendations. This not only eliminates tedious manual tasks but also allows for up to 10 times faster analysis compared to traditional spreadsheet methods.
Business challenges often require comprehensive and iterative data exploration. Amazon Q’s scenario analysis capability provides a flexible analysis canvas where users can:
For example, a user planning a customer event can upload an attendee spreadsheet and ask questions like, “How many attendees are registered?” or “Which roles are represented in the audience?” Amazon Q not only answers these queries but also suggests further questions, enabling deeper insights—such as identifying companies with fewer than two attendees to guide targeted marketing efforts.
The scenario analysis feature integrates seamlessly with Amazon QuickSight dashboards, connecting to data sources like:
Additionally, users can upload .csv or .xlsx files for analysis, making it versatile for various data formats. This tight integration with QuickSight’s generative business intelligence capabilities ensures a smooth, efficient workflow.
This new capability is poised to benefit industries ranging from retail to logistics and beyond. By simplifying complex problem-solving, it empowers businesses to:
You can start asking questions to Amazon Q using the Web experience URL, which can be found on the Applications page, as shown in the following screenshot.
Suppose we want to know the ratio of men to women who appeared on the Forbes 2024 list of the world’s billionaires. As you can tell from the following screenshot of The World’s Billionaires PDF, there were 383 women and 2398 men.
To use Amazon Q Business to elicit that information from the PDF, enter the following in the web experience chatbot
“In 2024, what is the ratio of men to women who appeared in the Forbes 2024 billionaire’s list?”
Amazon Q Business supplies the answer, as shown in the following screenshot.
The following screenshot is a list of the top 10 Billionaires from 2009.
We enter “How many of the top 10 billionaires in 2009 were from countries outside the United States?”
Amazon Q Business provides an answer, as shown in the following screenshot.
Next, to demonstrate how Amazon Q Business can pull data from a CSV file, we used the example of crime statistics found here.
We enter the question, “How many incidents of crime were reported in Hollywood?”
Amazon Q Business provides the answer, as shown in the following screenshot.
The scenario analysis feature in Amazon Q represents a significant leap forward in business intelligence. By automating and simplifying complex data analyses, AWS continues to empower organizations to achieve their goals with greater efficiency and insight.
Explore the new capabilities of Amazon Q in QuickSight and transform how your business tackles its toughest challenges.
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