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  1. Amazon QuickSight is a cloud-native, serverless, business intelligence (BI) with native machine learning (ML) integrations and usage-based pricing, allowing insights for all users.

  2. Amazon QuickSight is a cloud-scale business intelligence (BI) service that you can use to deliver easy-to-understand insights to the people who you work with, wherever they are. Amazon QuickSight connects to your data in the cloud and combines data from many different sources.

  3. Amazon QuickSight features. Create and share dashboards that scale to hundreds of thousands of users on any device. Get started with a free trial. Built for enterprise workloads.

  4. Learn about new features, tips, and how-to's. Start building with Amazon QuickSight in the AWS Console. Resources to get your Amazon QuickSight journey started with demo videos, quick start guides, and recent webinars.

  5. Amazon QuickSight seamlessly discovers AWS data sources, enables organizations to scale to hundreds of thousands of users, and delivers fast and responsive query performance by using the Amazon QuickSight Super-fast, Parallel, In-Memory, Calculation Engine (SPICE).

  6. Accelerate decision-making and enhance business productivity with Generative BI capabilities powered by Amazon Q in QuickSight. Dashboard-authoring capabilities empower business analysts to swiftly build, uncover, and share valuable insights using natural language prompts.

  7. Automatically analyze sales metrics across store locations, product categories, SKUs, and customers. ML-powered anomaly detection allows you to continuously monitor your sales, learning from historical data patterns at the most granular level, surfacing hidden trends and anomalies.

  8. Using Amazon QuickSight, you can access data and prepare it for use in reporting. It saves your prepared data either in SPICE memory or as a direct query. You can use a variety of data sources for analysis.

  9. Amazon QuickSight empowers your users to gain deeper insights through as-needed analysis and machine learning (ML) capabilities such as anomaly detection and forecasting. These capabilities provide you with new ways of monetizing and differentiating your applications.

  10. Open the QuickSight console.. Choose Analyses, and then choose the analysis that you want to add a nested filter to.. Create a new filter on the text field that you want to filter on. For more information about creating a filter, see Adding filters in analyses.. After you create the new filter, locate the new filter in the Filters pane. Choose the ellipsis (three dots) next to the new filter ...

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