New Capability of Amazon Q in QuickSight Makes Every Employee Their Own Data Analyst
Employees can use natural language to perform expert-level data analysis, ask what-if questions, and get actionable recommendations, helping them unlock new insights and make decisions faster
Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ:AMZN), today announced that Amazon Q in QuickSight unlocks the ability for any employee to perform expert-level data analysis using natural language. The new scenarios capability of Amazon Q in QuickSight, now generally available, uses an advanced artificial intelligence (AI) agent to empower all employees to engage via natural language to perform data analysis without any specialized skills or expertise. Amazon Q in QuickSight is a generative AI assistant that helps employees get insights faster and make better decisions using Amazon QuickSight, AWS's AI-powered business intelligence (BI) service.
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Figure 1 The scenarios capability of Amazon Q in QuickSight
- Now any employee can use natural language to dive deep into their data and receive expert guidance that helps them uncover hidden trends, make recommendations for their organization, and identify new business opportunities to explore next.
- The new AI capability for Amazon Q in QuickSight also accelerates productivity for data analysts, helping them build elaborate models and formulas using natural language and perform complex analysis up to 10x faster than spreadsheets.
- Amazon Q in QuickSight is built to meet the highest levels of security and privacy and never uses customer data or inputs and outputs to train the underlying models.
- Employees at companies like Availity and the BMW Group, as well as other businesses across Amazon, are using the scenarios capability of Amazon Q in QuickSight to transform decision-making.
"We are at the beginning of a workplace transformation driven by agents, and Amazon QuickSight is pioneering how this technology can break down the technical barriers between employees and their data," said Dilip Kumar, vice president of Amazon Q Business, AWS. "With the new scenarios capability, everyone becomes their own data analyst who can dive deep into their company data, helping them unlock insights, make better decisions, and explore countless possibilities faster than ever before."
Used by more than 100,000 customers at companies ranging from startups to the Fortune 500, including Docebo, GoDaddy, and the National Football League, Amazon QuickSight powers unified BI capabilities, including interactive dashboards, paginated reports, and embedded analytics, that help employees make better decisions. Amazon Q in QuickSight brings generative AI to business intelligence, transforming how employees interact with data through conversational capabilities like AI-powered executive summaries, a context-aware, multi-visual data question-and-answer experience, and customizable, interactive data stories. Unlike traditional BI solutions that only allow users to analyze data from databases, data warehouses, and data lakes, Amazon Q in QuickSight allows users to bring all their enterprise data into the decision-making process, combining structured data stored in data warehouses and unstructured data from documents, webpages, emails, images, messages, and more.
An AI capability that revolutionizes how employees work with data
Timely access to the right data and insights can help employees make faster, more informed decisions that lead to better business outcomes. However, accessing those insights via legacy BI tools and dedicated analysis tools like spreadsheets often requires specialized skills or help from a business analyst to select the right data, understand it, determine the analytical approach, perform the analysis, and interpret it to identify actionable recommendations. Most organizations depend on dashboards and reports for insights, which is often insufficient, or on manually manipulating data in spreadsheets, an error-prone process that can take days to complete. With the new scenarios capability of Amazon Q in QuickSight, every employee can perform their own advanced data analysis tasks in minutes through a simple conversation—no specialized expertise required. For example, a marketer can evaluate the impact of a new subscription program, or a warehouse manager can find new ways to optimize operations.
To get started, employees select information from a QuickSight dashboard or upload their own spreadsheet to QuickSight and start asking questions like, "What drove the month-over-month increase in revenue in Belgium?" Amazon Q then automatically analyzes and visualizes the data, providing actionable recommendations based on their inquiry. Whether an employee needs to forecast sales trends, optimize an operational process, or determine how to improve a marketing campaign, the AI capability breaks down data analysis into a series of easy-to-understand, executable steps, making it possible to build sophisticated analyses in minutes. With the new capability, employees can easily move beyond basic observations to model solutions, compare alternatives, and answer exploratory questions like, "What if we extended our free trial period?" or "How would this impact conversion rates?" or "What if we could reduce customer churn by 20%?" This makes it faster and easier to explore new possibilities and compare alternatives side-by-side to better inform decision-making.
Working with natural language and an intuitive user interface, employees can perform advanced data analysis with just a few clicks, eliminating errors associated with manual data manipulation or moving information across spreadsheets. Employees can also easily access, modify, extend, and reuse previous analyses to quickly adapt to changing business needs or revisit past analyses when data changes. As a part of Amazon Q in QuickSight, the scenarios capability is built to meet enterprise-grade security and privacy standards. No data or Amazon Q in QuickSight inputs or outputs are used to improve the underlying models used by Amazon Q.
Amazon Devices product marketing team uses the scenarios capability of Amazon Q in QuickSight to find new ways to reach developers creating Amazon Appstore applications, encouraging them to build novel Appstore integrations and increase the reach of their products. The team tracks many KPIs to measure the health of their entire business, from usage and adoption to customer satisfaction and pain points. For example, today they have a QuickSight dashboard that shows trends of support tickets coming into their queue—with key metrics such as ticket volume, status, and age. However, these metrics alone did not capture the vast amount of contextual information that was included in the ticket descriptions. Now, with the new capability in Amazon Q in QuickSight, the Appstore team is able to go much deeper and pull out customer insights from the descriptions of these tickets in minutes, enabling them to better support their customers, reduce time spent troubleshooting, and increase overall customer satisfaction.
Availity, one of the largest real-time health information networks in the U.S., increasingly uses QuickSight as the one-stop-shop for their business metrics and reporting. While QuickSight dashboards provide a comprehensive view of the business overall, many employees have questions unique to their role, like, "What is the Tax ID for these five providers?" or "Can you show me how many claims have been filed with this doctor?" that require a level of detail beyond the dashboards. With the scenarios capability of Amazon Q in QuickSight, every employee can conduct their own analysis using natural language, allowing them to get the answers they need faster while reducing the burden on Availity analysts, so they can prioritize more strategic tasks.
The BMW Group is a leading manufacturer of premium automobiles and motorcycles, utilizing Amazon QuickSight to efficiently manage inventory across thousands of vehicles, each characterized by numerous attributes. Previously, when associates needed to investigate complex issues such as supply chain bottlenecks or identify factors contributing to aging vehicle stock, they had to manually sift through dashboards and spreadsheets, consuming significant amounts of time. Now, leveraging the new scenarios capability of Amazon Q in QuickSight, BMW Group's teams can perform these detailed investigations within minutes by simply using natural language queries and swiftly modeling new scenarios. Given the promising early results, the BMW Group is currently evaluating to extend this advanced capability across various business units, enabling faster, data-driven decisions that enhance operational efficiency.
The scenarios capability of Amazon Q in QuickSight is generally available today. To learn more, visit:
- The AWS What's New post for details on today's announcement.
- The Amazon Q in QuickSight page to learn more about the capability.
- The Amazon Q in QuickSight customer page to learn more about how companies are using Amazon Q in QuickSight.
About Amazon Web Services
Since 2006, Amazon Web Services has been the world's most comprehensive and broadly adopted cloud. AWS has been continually expanding its services to support virtually any workload, and it now has more than 240 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, media, and application development, deployment, and management from 114 Availability Zones within 36 geographic regions, with announced plans for 12 more Availability Zones and four more AWS Regions in New Zealand, the Kingdom of Saudi Arabia, Taiwan, and the AWS European Sovereign Cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. To learn more about AWS, visit aws.amazon.com.
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