New Capability of Amazon Q in QuickSight Empowers Every Employee as a Data Analyst

Amazon Web Services (AWS) has launched a groundbreaking update to Amazon Q in QuickSight, enabling every employee to perform expert-level data analysis through natural language. This innovative generative AI assistant transforms business intelligence by allowing users to interact conversationally with their data, eliminating the need for specialized skills.

Bridging the Gap in Data Analysis

The new scenarios capability of Amazon Q in QuickSight democratizes data insights by allowing employees at all levels to explore and analyze information with simple, natural language queries. Instead of relying on traditional spreadsheets or complex analytical tools, users can quickly obtain actionable insights, making complex data analysis up to 10 times faster. Key features include:

• Natural Language Interaction: Employees can ask questions like, "What drove the month-over-month increase in revenue in Belgium?" and receive detailed, interactive visualizations automatically.
• AI-Powered Executive Summaries: The system offers context-aware summaries and multi-visual data presentations, helping to uncover hidden trends and recommend new business opportunities.
• Enhanced Productivity for Analysts: Beyond empowering non-experts, experienced data analysts benefit by constructing complex models and formulas more efficiently using intuitive language commands.
• Robust Security and Privacy: Amazon Q ensures that no customer data or query inputs are used to train its underlying models, maintaining enterprise-grade security standards.

Real-World Transformations

Companies across diverse industries are already experiencing the benefits of this advanced capability.

From Marketing to Manufacturing

• Amazon Devices Team: By leveraging the scenarios capability, the team has streamlined how they track key performance indicators such as support ticket trends. They now extract detailed contextual insights quickly, which helps reduce troubleshooting times and elevates customer satisfaction.

• Availity: As one of the largest real-time health information networks in the U.S., Availity uses QuickSight to centralize business metrics. With the new feature, employees can independently analyze specific queries, such as provider Tax IDs or claim figures, thus reducing the workload on specialized analysts and allowing them to focus on strategic initiatives.

• BMW Group: For the premium automobile manufacturer, managing thousands of vehicle attributes has been streamlined. Previously time-consuming tasks like identifying supply chain bottlenecks are now achieved in minutes using natural language queries, significantly driving operational efficiency.

The User Journey from Query to Insight

The process is straightforward: an employee selects data from a QuickSight dashboard or uploads their own spreadsheet and begins a conversational query. The AI immediately analyzes the data, visualizes the trends, and provides recommendations that empower users to project future scenarios—such as forecasting sales trends, optimizing operations, or adjusting marketing campaign strategies.

"We are at the beginning of a workplace transformation driven by agents, and Amazon QuickSight is pioneering how this technology can break down the technical barriers between employees and their data," said Dilip Kumar, vice president of Amazon Q Business at AWS. This innovation drives a new era where every employee can become their own data analyst, uncover insights rapidly, and make better business decisions.

Paving the Future of Business Intelligence

Amazon Q in QuickSight’s integration of generative AI in business intelligence marks a transformative shift from static dashboards and error-prone spreadsheets to dynamic, interactive data analysis. With the ability to blend structured information from data warehouses with unstructured data such as documents, emails, and images, every employee can now engage with a holistic view of their business metrics.

Analysts and non-technical staff alike are set to benefit from this streamlined, conversational approach to data analysis, setting the stage for more rapid, data-driven decisions and a more agile business environment.

The evolution of Amazon Q in QuickSight signals the start of a broader transformation across industries, enabling organizations to harness data insights faster than ever before and venture into new realms of strategic decision-making.