New machine learning powered capability in
Amazon QuickSight lets anyone type questions about their business
data in natural language and receive accurate answers with relevant
visualizations in seconds
The National Football League, Forwood, and
PeopleScout among customers using Amazon QuickSight Q
Today, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc.
company (NASDAQ: AMZN), announced the general availability of
Amazon QuickSight Q, a new capability in Amazon QuickSight that
gives anyone in an organization the ability to ask business
questions using natural language and receive accurate answers with
relevant visualizations that help them gain insights from the data.
Amazon QuickSight Q does not depend on prebuilt dashboards or
reports to deliver visualizations, which removes the need for
business intelligence (BI) analysts to update a dashboard every
time a new business question arises, so anyone can ask their
questions and receive visual answers in seconds. Customers can
easily refine the way Amazon QuickSight Q understands questions
(and thus produces answers) with an easy-to-use editor, which
removes the need for complex data preparation before users can ask
questions of data in natural language. Amazon QuickSight Q uses
machine learning to interpret the intent of a question and analyze
the correct data to provide accurate answers to business questions
quickly. Amazon QuickSight Q also provides auto-complete
suggestions for key phrases and business terms, and automatically
performs spell checking and acronym/synonym matching, so users do
not have to worry about typos or remembering the exact business
terms for their data. There are no upfront commitments to use
Amazon QuickSight Q, and customers only pay for the number of users
or queries. To get started with Amazon QuickSight Q, visit
aws.amazon.com/quicksight/q.
Companies want to be more data-driven in their decision making,
but the cost and complexity of traditional BI solutions prohibits
most companies from putting their data to work in meaningful ways.
For example, companies would like to back up high-velocity
decisions with insights from their data, like whether to adjust
prices based on real-time trends. To address this challenge, many
customers use Amazon QuickSight, a scalable, serverless,
embeddable, machine learning powered BI service built for the cloud
that makes it easy to quickly create and publish interactive BI
dashboards. Customers like Amazon QuickSight’s ability to
automatically interpret and describe what the data in a BI
dashboard means in plain language, but these customers also want
the ability for any user to ask business questions of their data in
plain language and receive accurate answers and relevant
visualizations. While some BI tools and vendors have attempted to
solve this challenge, the existing approaches either require that
BI teams spend months preparing and modeling data in advance, or
sacrifice accuracy and relevancy for the speed of getting
visualizations more quickly. Neither of these trade-offs is ideal
for customers who simply want highly relevant insight from their
data quickly.
Amazon QuickSight Q gives anyone access to powerful analytics
with the ability to ask business questions of their data in natural
language and receive accurate answers with relevant visualizations
in seconds. To ask a question, users simply type it into Amazon
QuickSight Q. As users begin typing their questions in natural
language, Amazon QuickSight Q provides auto-complete suggestions
for key phrases and business terms, so users are freed from
worrying about typos or remembering the exact terms in the business
data. Amazon QuickSight Q uses machine learning (natural language
processing, schema understanding, and semantic parsing for SQL code
generation) to automatically understand the meaning and
relationships among business data, providing users with accurate
answers and relevant visualizations in response to questions in
seconds—freeing BI teams from the time-consuming task of updating
calculations, visuals, reports, and dashboards each time a user has
a new question. An easy-to-use editor allows customers to refine
the way Amazon QuickSight Q understands questions, removing the
need for complex data preparation before users can ask questions of
data in natural language. Because Amazon QuickSight Q does not
depend on prebuilt dashboards and reports, users can explore all
their data and are not limited to asking only a specific set of
questions, providing end users with the insight they need in
seconds. The machine learning models that power Amazon QuickSight Q
are pretrained on data from various domains (sales reporting, ads
and marketing, financial services, healthcare, and sports
analytics), so it can also understand complex business language and
provide accurate answers and visualizations. For example, sales
users can ask, “How are my sales tracking against quota?” or retail
customers can ask, “What are the top products sold week-over-week
by region?” Amazon QuickSight Q gives BI teams insight into the
questions end users most frequently want answered, so they can make
improvements to their data models and dashboards. Amazon QuickSight
Q also continually improves over time based on the auto-complete
phrases a user selects. With Amazon QuickSight Q, even the most
non-technical users in an organization can now easily ask questions
of data in natural language and receive visual answers in seconds,
providing the ability for anyone to benefit from BI visualizations
and allowing organizations to derive greater benefit from the
business insights Amazon QuickSight Q offers.
“Customers love that Amazon QuickSight makes it easy for them to
perform advanced analytics without prior data science experience,
and they’re using it in ways that are surprising and delightful,”
says Matt Wood, VP of Business Analytics, AWS. “Now, with Amazon
QuickSight Q, anyone within an organization has the ability to ask
natural language questions and receive highly relevant answers and
visualizations. For the first time, anyone can tap into the full
power of data to make quick, reliable, data-driven decisions to
plan more efficiently and be more responsive to their end
users.”
Amazon QuickSight Q currently supports questions in English and
is generally available today to customers running Amazon QuickSight
in US East (Ohio), US East (N. Virginia), US West (Oregon), Europe
(Frankfurt), Europe (Ireland), and Europe (London), with
availability in additional AWS Regions coming soon.
The National Football League (NFL), the highest level of
American Football in the world, is a professional American Football
League consisting of 32 teams. The NFL uses AWS to power Next Gen
Stats and track complex data, including player speed, field
location, and movement patterns. “Amazon QuickSight Q allows both
data experts and novices to have a more seamless and intuitive
experience within Next Gen Stats. Content creators will now be able
to ask questions similarly to how they would ask another person,
and receive clear and customizable visual answers in return,” said
Michael Chi, Director of NFL Next Gen Stats at NFL. “QuickSight Q
has the ability to significantly expand our research application’s
userbase by transcending the traditional business intelligence user
interface, allowing users to think through a question semantically
rather than technically. NFL teams will be able to quickly get the
answers they need to make decisions prior to a game, while NFL
Network and broadcast producers will be able to get live game
statistics for discussion points without requiring technical
training. We are looking forward to expanding the use of QuickSight
Q and making Next Gen Stats more accessible to everyone.”
Forwood is an innovative, values-driven company with a laser
focus on critical risks and fatality prevention. “With Amazon
QuickSight Q, we bring life-saving safety analytics to more people
than ever before,” said Faye Crompton, Head of Analytics, Forwood.
“Our FAST (Forwood Analytical Self-Service Tool for Reporting)
users will now have the opportunity to ask their own questions via
the natural language-based interface to query and quickly visualize
fatality risks on their sites. This is ground breaking in the
industry, making fatality prevention data readily available to
workers at all levels of the organization, not just to those with
experience in analytics and data reporting. Amazon QuickSight Q
will enable all of our users to identify sites or work areas that
have an increasing fatality risk, based on emerging trends in
non-conformance to safety standards. Amazon QuickSight Q is a great
addition to our innovative suite of tools and ensures Forwood’s
critical risk management solution ‘CRM’ has the most advanced data
analysis capabilities to provide our customers with unparalleled
insights into their safety and risk status.”
PeopleScout is a leading global provider of Recruitment Process
Outsourcing solutions, managing talent solutions that support total
workforce needs. “The addition of Amazon QuickSight Q to Affinix
Analytics, our award-winning platform that provides clients with
insights and operational metrics to drive business decisions
throughout the recruitment process, will reduce the manual effort
required to analyze data, enhance the ability of clients and
delivery teams to make data-driven decisions, and optimize the
talent process while providing a best-in-class experience for
candidates,” said Anna Turner, Senior Vice President of Product,
PeopleScout. “As consumers in a technology-enabled world, we expect
an on-demand experience for everything we do. With Amazon
QuickSight Q, we are thrilled to bring that same experience to
business users through on-demand answers and data visualizations in
seconds with Affinix Analytics.”
About Amazon Web Services
For over 15 years, Amazon Web Services has been the world’s most
comprehensive and broadly adopted cloud offering. AWS has been
continually expanding its services to support virtually any cloud
workload, and it now has more than 200 fully featured services for
compute, storage, databases, networking, analytics, machine
learning and artificial intelligence (AI), Internet of Things
(IoT), mobile, security, hybrid, virtual and augmented reality (VR
and AR), media, and application development, deployment, and
management from 81 Availability Zones within 25 geographic regions,
with announced plans for 24 more Availability Zones and eight more
AWS Regions in Australia, India, Indonesia, Israel, New Zealand,
Spain, Switzerland, and the United Arab Emirates. 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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