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.
About Amazon
Amazon is guided by four principles: customer obsession rather
than competitor focus, passion for invention, commitment to
operational excellence, and long-term thinking. Amazon strives to
be Earth’s Most Customer-Centric Company, Earth’s Best Employer,
and Earth’s Safest Place to Work. Customer reviews, 1-Click
shopping, personalized recommendations, Prime, Fulfillment by
Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire
tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology,
Amazon Studios, and The Climate Pledge are some of the things
pioneered by Amazon. For more information, visit amazon.com/about
and follow @AmazonNews.
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