Ask questions of your data and receive answers in seconds

Ask questions of your data

Amazon QuickSight Q is a machine learning powered capability that uses natural language processing to answer your business questions instantly, saving weeks of effort from BI teams having to build pre-defined data models and dashboards.

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Ask questions of your data

Amazon QuickSight Q is a machine learning powered capability that uses natural language processing to answer your business questions instantly, saving weeks of effort from BI teams having to build pre-defined data models and dashboards.

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Use natural language you are familiar with

Q is optimized to understand business language that you use every day as part of your job, including phrases related to sales, marketing, and retail. For example, if a sales leader wants to identify product categories that brought in the highest revenue in a region, they can simply ask, "What are the best-selling categories in California?" Q will understand that "best-selling" means highest revenue, and return the top-ranked categories in California by revenue.

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Use natural language you are familiar with

Q is optimized to understand phrases and business language that you use every day as part of your job, including Sales, Marketing, Retail, etc.. For e.g., if a sales leader wants to identify product categories that brought-in the highest revenue in a region, they can simply ask “What are the best-selling categories in California” and Q will understand that by “best-selling” you mean the top ranked categories by revenue.

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Receive answers in seconds

Unlike conventional NLQ-based BI tools, Q uses machine learning to automatically understand the relationships across your data and build indexes. Because it does not require BI teams to pre-build data models on specific datasets, you can ask questions on all your data and get insights in seconds.

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Receive answers in seconds

Unlike conventional NLQ-based BI tools, Q uses machine learning to automatically understand the relationships across your data and build indexes. Because it does not require BI teams to pre-build data models on specific datasets, you can ask questions on all your data and get insights in seconds.

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Improves accuracy the more you use it

Q has a built-in dictionary that provides auto-complete suggestions, performs spell-checks, and suggests acronyms and synonyms that can be customized to be business-specific. Also, if Q gets an answer wrong, you can provide feedback to Q to correct the answer. This feedback is passed on to the BI team who can fine-tune the data model or add more data.

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Improves accuracy the more you use it

Q has a built-in dictionary that provides auto-complete suggestions, performs spell-checks, and suggests acronyms and synonyms that can be customized to be business-specific. Also, if Q gets an answer wrong, you can provide feedback to Q to correct the answer. This feedback is passed on to the BI team who can fine-tune the data model or add more data.

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Getting started with Q is easy

Connect QuickSight to your data-source, enable Q for datasets that you want users to be able to ask questions about, and get started asking questions quickly.

How embedded analytics works

Customer stories

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Best Western Hotels & Resorts, headquartered in Phoenix, Arizona, is a privately held hotel brand with a global network of approximately 4,700+ hotels in over 100+ countries and territories worldwide. Best Western offers 18 hotel brands to suit the needs of developers and guests in every market.

“Amazon QuickSight’s pay-per-use pricing and serverless architecture enabled Best Western’s lean analytics team to be agile and deliver increased value to the business, faster and at less than half the cost of our previous analytics architecture. “With Amazon QuickSight Q, we look forward to enabling our business partners to self-serve their ad-hoc questions while reducing the operational overhead on our team for ad-hoc requests. This will allow our partners to get answers to their critical business questions quickly by simply typing their questions in plain language.”

Joseph Landucci, Senior Manager, Database and Enterprise Analytics, Best Western Hotels & Resorts

CapitalOne
“With Amazon QuickSight, we have been able to quickly roll out new machine learning-powered BI dashboards at scale and without any server setup or onerous capacity planning,”. “Now, with the launch of Amazon QuickSight Q we look forward to making it easy for our users to quickly get answers to their ad-hoc business questions that aren’t even part of the BI dashboards."

Peter Tyson, Senior Data Engineer, Capital One

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Panasonic Avionics Corporation is the world’s leading supplier of in-flight entertainment and communication systems.

“Our cloud-based solution collects large amounts of anonymized data that help us optimize the experience for both our airline partners and their passengers,” “We started using Amazon QuickSight to report on in-flight Wi-Fi performance, and with its rich APIs, pay-per-session pricing, and ability to scale, we quickly rolled out Amazon QuickSight dashboards to hundreds of users. The constant evolution of the platform has been impressive: machine learning-powered anomaly detection, Amazon SageMaker integration, embedding, theming, and cross-visual filtering, and now with Amazon QuickSight Q our users can consume insights by simply typing their business questions in the search bar and Amazon QuickSight Q interprets the business context, provides synonyms, and shows them an answer with no complex interpretation needed.”

Anand Desikan, Director of Cloud Operations at Panasonic Avionics Corporation

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Vyaire Medical, Inc., a global company dedicated to respiratory care, enables, improves and extends lives with an unyielding focus on improving patient outcomes and increasing value for customers.

“In less than two months we were able to pivot our old BI reporting tool into Amazon QuickSight,”. “We gained so much in terms of ease of management, especially while scaling the tool to support the increase in number of BI users. Now with the launch of Amazon QuickSight Q, we are looking forward to make it easier for our executive leadership team, sales users in the field, and supervisors in the manufacturing plant to ask their data questions in plain English when the answers are unavailable in the dashboards, providing faster insights that help in making our sales and manufacturing processes even more efficient.”

Gopal Ramamurthi, Sr. Director Analytics & Enterprise Data Management, Vyaire