Source: aws.amazon.com
Amazon QuickSight Q – Business Intelligence Using Natural Language QuestionCategory: Business, Data, machine-learning
Making sense of business data so that you can get value out of it is worthwhile yet still challenging. Amazon QuickSight was designed to make it easier for you to put BI to work in your organization. Announced in 2015 and launched in 2016, QuickSight is a scalable BI service built for the cloud.
The Summary page is designed to provide QuickSight Authors with information that they can use to fine-tune the topic: I can click on the Data tab and learn more about the list of fields that Q uses to answer questions.
I can make changes in order to exercise control over the types of aggregations that make sense for the field, and I can also provide additional semantic information: As an example of providing additional semantic information, if the field’s Semantic Type is Location, I can choose the appropriate sub-type: The User Activity tab shows me the questions that users are asking of this topic: QuickSight
The Summary page is designed to provide QuickSight Authors with information that they can use to fine-tune the topic: I can click on the Data tab and learn more about the list of fields that Q uses to answer questions.
I can make changes in order to exercise control over the types of aggregations that make sense for the field, and I can also provide additional semantic information: As an example of providing additional semantic information, if the field’s Semantic Type is Location, I can choose the appropriate sub-type: The User Activity tab shows me the questions that users are asking of this topic: QuickSight
Related Articles
Community Partners
DevOps Careers