Title

AWS re:Invent 2022 - [NEW LAUNCH!] What’s new with Amazon QuickSight? (BSI208)

Summary

Neil Colley and Jesse, from the QuickSight team, presented new features and capabilities of Amazon QuickSight.
QuickSight now offers a unified BI experience, fast performance, and consumption-based pricing.
Key benefits include policy-based governance, delivery of insights anywhere, and augmented analytics with machine learning.
New features include serverless paginated reporting, enhanced forecasting, visual-based embedding, and the ability to handle 1 billion rows with SPICE.
Investment areas include empowering end users with a rich reader experience, customization for authors, programmatic control for developers, and governance for admins.
Amazon QuickSight Q now supports new question types for natural language queries, including forecasting and "why" questions.
Paginated reporting allows for PDF or CSV outputs, scheduled delivery, and point-in-time reporting.
New visualization options include small multiples, radar charts, and inline bar charts.
Enhanced APIs enable assets as code, allowing for programmatic dashboard creation and management.
QuickSight's pace of innovation has led to over 150 features in the last two years, with a total of around 500 features over the last five years.
The session concluded with a call to join the QuickSight community and utilize Demo Central for inspiration and learning.

QuickSight's focus on a unified BI experience aims to eliminate the need for multiple tools for reporting, dashboarding, and analytics, simplifying the user experience and training requirements.
The introduction of serverless paginated reporting addresses a gap in cloud-based BI reporting, particularly for traditional operational reports that require printing across multiple pages.
The expansion of QuickSight Q's capabilities with forecasting and "why" questions reflects a trend towards more intuitive and accessible data analysis tools for users without technical skills.
The doubling of SPICE capacity to 1 billion rows and the 30% performance improvement demonstrate AWS's commitment to scaling QuickSight to meet the needs of large datasets and complex analytics.
The enhanced APIs and assets as code approach indicate a shift towards more developer-friendly BI tools, enabling automation, CI/CD integration, and easier migration from other BI platforms.
QuickSight's investment in empowering end users, authors, developers, and admins shows a comprehensive approach to addressing the needs of different stakeholders in the BI process.
The session highlighted the importance of community engagement and resource sharing, as seen with the promotion of the QuickSight community and Demo Central.