Incorta
Enterprise-scale sub-second analytics without the constraints of traditional ETL.
Transform business intelligence with generative AI that answers data questions in seconds.
Amazon QuickSight Q, now evolved into the broader Amazon Q in QuickSight suite, represents a paradigm shift in Business Intelligence for 2026. Architecturally, it leverages foundational models via Amazon Bedrock to bridge the gap between structured data warehouses and natural language. Unlike traditional BI tools that require manual dashboard construction, QuickSight Q utilizes a semantic layer and machine learning to interpret user intent, automatically selecting the appropriate visualization types and performing complex aggregations on the fly. Its 2026 market position is defined by 'Generative BI'—a movement toward zero-ETL and zero-SQL environments where business users can generate multi-page 'Data Stories' and executive summaries through conversational interfaces. It integrates deeply with the AWS ecosystem, utilizing SPICE (Super-fast, Parallel, In-memory Calculation Engine) to maintain sub-second response times across petabyte-scale datasets. The system is designed for enterprise-grade security, ensuring that LLM interactions are governed by existing IAM roles and VPC security groups, preventing data leakage while democratizing advanced data science capabilities like anomaly detection and forecasting for non-technical stakeholders.
Uses LLMs to synthesize data points into a narrative-driven presentation with text, visuals, and insights.
Enterprise-scale sub-second analytics without the constraints of traditional ETL.
Augmented intelligence for business-wide data democratization and governed decision-making.
Transform natural language into high-performance analytical expressions and complex data scripts instantly.
Turn every Salesforce data point into an AI-powered prediction and prescriptive action.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Automatically generates a text-based overview of dashboard changes and key drivers using natural language generation.
Q suggests data joins, data types, and semantic labels based on the underlying schema and user intent.
Supports querying data in English, French, Spanish, German, and Japanese using neural machine translation.
Users can type 'change this bar chart to a map' and Q re-renders the visual contextually.
An in-memory engine that caches data in a columnar format for high-speed AI processing.
Q identifies an outlier and proactively explains the 'why' by analyzing contributing dimensions.
Regional managers cannot identify why sales are lagging in specific territories without analyst help.
Registry Updated:2/7/2026
CEOs need a summary of business health every Monday morning without waiting for a manual deck.
Finance teams need to project end-of-year spend based on current burn rates.