New capabilities in Amazon QuickSight Q enable
customers to forecast and to ask “why” questions
Automated data preparation makes it faster for
customers to start asking questions of their data using Amazon
QuickSight Q
New paginated reporting feature makes it easy
for customers to create and share business-critical operational
reports using the familiar Amazon QuickSight interface
Amazon QuickSight’s in-memory engine now
supports 1 billion rows of data, making it easier and faster to
analyze and visualize large datasets
Customers can now programmatically create,
manage, and edit Amazon QuickSight dashboards and reports to
accelerate migrations from legacy systems
At AWS re:Invent, Amazon Web Services, Inc. (AWS), an
Amazon.com, Inc. company (NASDAQ: AMZN), today announced five new
capabilities to help customers streamline business intelligence
(BI) operations using Amazon QuickSight, the most popular
serverless BI service built for the cloud. Today’s announcement
expands QuickSight Q, a natural language querying capability, to
support forecast and “why” questions and automate data preparation,
making it easier and faster to start asking questions in natural
language. Additionally, customers can now create and share
paginated reports alongside interactive dashboards, quickly analyze
and visualize billion-row datasets directly in QuickSight, and
programmatically create and manage BI assets to accelerate
migration from legacy systems. The new features announced today,
combined with QuickSight’s scalability and pay-as-you-go pricing,
enable customers to let users understand, visualize, and derive
insights and predictions from data, regardless of technical
expertise. To get started with QuickSight, visit
aws.amazon.com/quicksight.
“Organizations today are composed of numerous stakeholders with
varying levels of technical expertise—all of whom need access to
critical business insights to make better decisions and share
knowledge,” said G2 Krishnamoorthy, vice president of Analytics at
AWS. “That is why more than 100,000 customers use QuickSight to
power their BI needs. Today’s announcement makes QuickSight even
more intuitive, flexible, and accessible while streamlining BI
operations with a comprehensive and fast service built for the
cloud. Whether users want to forecast sales using natural language
queries, distribute critical operational reports, embed analytics
in high-traffic websites, or visually analyze massive datasets, we
continue to innovate on behalf of our customers by providing
advanced BI capabilities that support data-driven decisions at
scale.”
Companies today gather unprecedented amounts of data that they
want to use to make informed decisions, spot business trends, and
increase efficiency. To help employees turn data into action,
organizations must make this data accessible to a broad audience in
formats ranging from natural language querying and paginated
reports to interactive dashboards and embedded analytics. Amazon
QuickSight, the most popular serverless BI service built for the
cloud, makes this possible for customers including 3M, Best
Western, Bristol-Myers Squibb, Capital One, Comcast, Experian,
Guardian Life, McDonald’s, the National Football League, NTT
DOCOMO, Siemens, and United Airlines. QuickSight has added more
than 80 capabilities in the past year alone, making it easier for
customers to deliver valuable business insights throughout their
organizations, when and where needed. Today’s announcement builds
on these advances to help customers migrate and consolidate their
BI initiatives in the cloud.
- Support for forecast and "why" questions in Amazon
QuickSight Q: QuickSight Q uses machine learning to enable any
user to ask questions about business data in natural language and
receive accurate answers with relevant visualizations in seconds.
QuickSight Q lets anyone explore historical trends and metrics
without technical expertise, allowing users to derive new insights
from the data that powers their dashboards and reports. For
example, a sales user could ask, “Where did we sell the most items
last year?” or a finance user could ask, “What is actual revenue
compared to goal?” Many users want to dig even deeper to understand
the underlying causes of different metrics or to model potential
growth. With the new capabilities in QuickSight Q, business users
can now ask forecast questions to project metrics if historical
patterns hold and also ask "why" questions to see what historical
data contributed to specific results. For example, a sales manager
might ask to "Forecast sales for office chairs in California."
QuickSight Q will provide a forecast of sales based on patterns of
previous metrics that automatically account for seasonality and
anomalous data. The sales manager might then ask, "Why did sales
increase last month?" Within seconds, QuickSight Q summarizes the
key drivers of that increase. That means business users can better
understand underlying factors, and they can make more data-driven
decisions that determine future outcomes. Support for forecast and
“why” questions is available at no additional cost to all
QuickSight Q customers.
- Automated data preparation for Amazon QuickSight
Q: A new capability in QuickSight Q automatically infers
and adds semantic information to datasets, reducing the time BI
teams spend prepping data for natural language querying from days
to minutes. To prepare data for natural language queries, BI teams
today must manually translate shorthand representations and
abbreviations optimized for BI dashboards or SQL queries into
commonly used business terms (e.g., cust_ID translates to Customer
ID). The automated data preparation feature in QuickSight Q uses
pretrained machine learning models and learnings from a customer’s
existing assets (e.g., dashboards and reports) to preconfigure
business terms in each new dataset in minutes, reducing the time it
takes to start querying data. For example, a streaming service
could use the QuickSight Q automated data preparation capability to
preconfigure business terms for a dataset by using a preexisting
dashboard that includes subscriber information by customer
categories, customer IDs, and geographic locations. If a marketing
manager is planning a launch campaign, they can ask, "How many
premium subscribers do we have in Los Angeles?" and QuickSight Q
will return precise results. Automated data preparation is
available at no additional cost to all QuickSight Q customers.
- Paginated reporting built for the cloud: Paginated
reports provide a formatted, printable summary of data that
organizations can use to broadly share critical operational
information like daily transaction summaries and weekly updates
with business users (e.g., executives, managers, and front-line
workers). While many organizations have adopted modern BI products,
those tools lack the ability to create and share paginated reports.
This means customers often maintain multiple systems—one for modern
BI needs and a separate legacy system for paginated reports. These
on-premises systems can cost millions of dollars in infrastructure,
have rigid license fees, and require dedicated resources to
maintain, including replicating datasets across both systems. With
Amazon QuickSight Paginated Reports, customers can now create,
consume, and manage paginated reports in the cloud with the
familiar QuickSight interface, eliminating the costs and complexity
of a separate on-premises system. BI teams can use QuickSight’s
point-and-click dashboard and report-authoring interface to create
and publish reports in minutes, without learning a new tool or
managing any infrastructure. Business users can access the reports
alongside their interactive dashboards directly in QuickSight.
QuickSight Paginated Reports is available as an add-on to all
QuickSight Enterprise Edition customers.
- Simple and fast analysis for large datasets: Amazon
QuickSight’s Super-fast, Parallel, In-memory, Calculation Engine
(SPICE) provides lightning-fast performance at scale, handling more
than 100 million queries every week and processing an average of
tens of trillions of records per hour. Today, SPICE enables
thousands of users in an organization to perform fast, interactive
analyses simultaneously without any infrastructure setup or
management. While SPICE supports datasets of up to 500 million
rows, customers who want to use QuickSight's rich visualizations to
explore even larger datasets have previously had to rely on data
engineers to manually orchestrate data between QuickSight and
another data store (e.g., Amazon RDS, Amazon Redshift, or another
data warehouse), which made it challenging to access and analyze
very large datasets quickly. With billion-row support in SPICE,
it’s easier to connect to data stores and ingest data into SPICE.
Users now have greater autonomy to visually analyze large datasets
directly in QuickSight, without coordinating with engineering teams
to manually orchestrate data among services. Support for
billion-row datasets is now available to all QuickSight Enterprise
Edition customers.
- Faster, programmatic migration to the cloud:
QuickSight’s expanded application programming interface (API)
capabilities now allow customers to create, manage, and edit their
BI assets (e.g., dashboards, analysis, and reports)
programmatically, helping accelerate and streamline migrations from
on-premises legacy systems. Today’s BI tools lack full programmatic
access to dashboards and reports, significantly complicating
migration to a cloud-based BI offering. To move to the cloud,
customers might need to re-create tens of thousands of dashboards
and reports from scratch, which could take years. This barrier
prevents many businesses from migrating away from legacy systems.
API-based access to the underlying data models of dashboards and
reports allows customers and partners to treat these assets like
software source code, enabling fully programmatic deployments, peer
code reviews, and auditability of all changes. Programmatic access
to dashboards is available to all QuickSight Enterprise Edition
customers at no additional cost.
Nasdaq is a global technology company serving the capital
markets and other industries. “QuickSight Q has been a game changer
in enabling executives, sales, and data engineering teams to get
answers from data instantaneously. In many scenarios, our teams
want to go beyond historical trends or current data snapshots to
understand why something happened and forecast trends,” said
Michael Weiss, product manager at Nasdaq North American Markets.
“QuickSight Q’s new ‘why’ feature will help our users understand
the top dimensions and values that contributed most to changes in
key metrics, while forecasting will help our users explore
forward-looking insights like future revenue and market share
growth across market segments and customers. These new capabilities
in QuickSight Q will help us accelerate BI adoption by fully
automating complex data analyses and helping end users self-serve
without the need for analyst-built models and analyses.”
Siemens is a global leader in electrification, automation, and
digitalization. “At Siemens we power some of the largest
manufacturing organizations in the world with our
software-as-a-service solutions. Operational reporting has been a
key requirement to ensure all of our customers receive detailed
visibility into their organizational activities. While we have
tried different solutions over the years, we consistently face
challenges with reliability, stability, and ease-of-use,” said
Massimilliano Ponticelli, product manager at Siemens. “We are
excited that QuickSight now has paginated reporting capabilities
built in, so we can use a single interface for both interactive
dashboards and operational reports. This will help us further
streamline our operations and ensure our customers have full
visibility into every aspect of their business.”
Capital One is a leading financial institution specializing in
credit cards, auto loans, banking, and savings accounts. “Many of
our teams across all our lines of business rely on QuickSight to
ensure users can access timely insights to make data-driven
decisions, whether directly in QuickSight or embedded in
line-of-business applications,” said Latha Govada, director of
Enterprise Data Consumption Platforms at Capital One. “We are
excited about QuickSight Paginated Reports, as it will give our
users a greater choice of how they consume the data they need,
without having to use a separate product. The ability to
programmatically create and manage dashboards will also allow us to
further automate and strengthen our BI operations. We love the pace
of QuickSight innovation, which lets our teams be more agile with
every release.”
Best Western Hotels & Resorts is an award-winning global
family of hotels located in nearly 100 countries and territories
that offers accommodations for all types of travelers. “We are a
large and complex organization with 18 brands and varied ownership
structures across geographies. Moving to QuickSight from legacy BI
has helped us expand to over 23,000 users and reduce our costs by
30%. With QuickSight, we were able to consolidate multiple BI
solutions and data sources to enable faster, more holistic
insights,” said Joseph Landucci, director of Technology Management
at Best Western. “The expansion of QuickSight’s SPICE capability to
accommodate billion row datasets will provide us with continued
performance at scale across a wide range of use cases, including
marketing statistics, advance booking patterns, daily occupancy
rates, and loyalty program information. Additionally, QuickSight
Paginated Reports will allow us to bring to the fold users who
prefer to have highly-formatted reports shared directly with them
when needed, helping further our mission to democratize data across
our organization.”
NISSAN is an international automotive company which sells
vehicles under the Nissan, Infiniti, and Datsun brands. “As we
scale the use of dashboards and reports to share data-driven
insights on connected car data across our organization, it is
becoming increasingly difficult to rely on the time-consuming and
error-prone process of manually deploying BI assets,” said Daisuke
Hyodo, deputy general manager of Research and Development, Data
Science, and Global IT at NISSAN. “As an agile data and analytics
team, we are excited to use QuickSight’s expanded API capabilities
to programmatically manage analyses and dashboard assets in our
DevOps pipeline. This will allow us to promote changes faster and
quickly share valuable insights with our end users.”
Traeger Grills is a leading provider of smokers, grills, and
barbeque products. “Our operations team uses QuickSight to deliver
fast, accurate information and solutions to our customers and
partners. It has helped us realize a 90% reduction in our BI costs
while serving over 700 users across a variety of use cases, from
distribution center forecasts to reporting Amazon Connect call
center metrics. It has also allowed us to enable augmented
self-service by allowing users to ask questions in natural language
directly in QuickSight Q without having to wait for an analyst, and
to ensure consistent high performance with QuickSight's SPICE data
engine,” said Corey Savory-Venzke, vice president of Customer
Experience at Traeger. “We are excited about the new forecast and
‘why’ capabilities in QuickSight Q, which will help our users gain
a deeper understanding of their data. As our usage and datasets
grow, SPICE's ability to handle 1 billion row datasets will also be
critical in ensuring consistent high-performance for all our
users.”
Anthology provides a holistic ecosystem of EdTech solutions for
over 150 million learners, educators, and administrators in over 80
countries. “Sharing business insights from across our EdTech
platform is a critical part of our mission to provide dynamic,
data-informed experiences to the global education community. While
almost everyone would benefit from these insights, not everyone
wants to fetch information from a dashboard,” said Steve Bailey,
director of Product Management, Data, and Analytics at Anthology.
“We are excited about QuickSight Paginated Reports, which will help
our end-users access business-critical insights in a consumable
format delivered directly to them, while also making it
significantly easier for our developers to create and schedule
reports in minutes using the familiar QuickSight interface.”
Showpad is a sales enablement platform helping B2B sales teams
globally maximize impact. “At Showpad, we embed QuickSight
dashboards within our customer facing applications to improve sales
and marketing effectiveness. We've also introduced QuickSight Q so
users can ask business questions that go beyond existing
dashboards. As a fully SaaS based product, we continuously deliver
product updates to our customers following DevOps practices,” said
Jeroen Minnaert, head of Data at Showpad. “We are excited to use
QuickSight’s expanded API capabilities to allow programmatic
creation and management of dashboards. This will allow us to treat
QuickSight assets as software components and promote our analyses
and dashboards automatically from development to staging to
production even faster than before. The introduction of forecast
and ‘why’ questions in QuickSight Q will help us further enhance
customer value by enabling users to uncover key contributors to
changes in the metrics that matter and forecast adoption without
the need for technical analysts.”
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 96 Availability Zones within 30 geographic regions,
with announced plans for 15 more Availability Zones and five more
AWS Regions in Australia, Canada, Israel, New Zealand, and
Thailand. 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
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Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire
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pioneered by Amazon. For more information, visit amazon.com/about
and follow @AmazonNews.
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