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Amazon QuickSight

Provides interactive data visualizations, machine learning insights, and reporting through pay-per-session pricing and email reports.

Made by Amazon Web Services

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What is Amazon QuickSight?

Amazon QuickSight is a comprehensive business intelligence (BI) solution that empowers organizations to make data-driven decisions at scale. It enables all users, regardless of their technical expertise, to unlock insights from their data through modern interactive dashboards, paginated reports, embedded analytics, and natural language queries. With QuickSight, organizations can unify their data sources, create a single source of truth, and deliver actionable insights to their teams. The service's flexible pay-per-session pricing model and email reporting capabilities further enhance its accessibility and usability. Over 100,000 customers currently leverage Amazon QuickSight to power their data-driven initiatives

Highlights

  • Unified BI Platform: Provides a centralized hub for data analysis and visualization, catering to diverse user needs
  • Natural Language Queries: Allows users to ask questions about their data and receive answers in seconds using natural language
  • Embedded Analytics: Enables seamless integration of interactive dashboards and reports into business applications
  • Email Reports: Facilitates the scheduling and distribution of customized reports via email, keeping stakeholders informed.

Platforms

  • Desktop Windows
  • On-Premise Linux
  • Mobile iPad
  • Web-based
  • Mobile iPhone
  • Desktop Chromebook
  • Mobile Android
  • Desktop Mac
  • On-Premise Windows
  • Cloud, SaaS, Web-based
  • Desktop Linux

Languages

  • Danish
  • German
  • English
  • Finnish
  • French
  • Italian
  • Japanese
  • Korean
  • Dutch
  • Norwegian
  • Portuguese
  • Spanish
  • Swedish
  • Chinese (Simplified)
  • Chinese (Traditional)

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Features

    • Explore, analyze, collaborate

    • Deliver rich, interactive dashboards for your

    • Pay-per-session pricing

    • SPICE (super-fast, parallel, in-memory,

    • ML Insights