Quick intro to Dash Enterprise Use Cases

Dash Enterprise supports a wide range of use cases, from geospatial analytics to finance and unstructured data workflows. Applications built on Dash can handle massive datasets and still deliver responsive, interactive performance.

In geospatial scenarios, users can explore datasets with tens of millions of records. For example, a cell tower dataset with 41 million entries allows users to zoom from global views down to individual streets in cities like London. The platform handles this scale efficiently and interactively.

• Supports large geospatial datasets with fast filtering and zoom
• Ideal for telecom, infrastructure, and urban planning applications
• Enables high-resolution drilldowns without performance loss

In finance, Dash apps can integrate historical financial indicators with large language models to provide real-time context. For example, visualizing the Global Financial Stress Index alongside LLM-powered explanations helps users understand market shifts directly within the dashboard.

• Enhances charts with AI-generated insights
• Connects to internal or external LLMs
• Allows users to ask questions and receive context in-app

Dash also enables chat-based interactions with unstructured content. A chatbot embedded in the interface can summarize long documents like earnings reports, helping users extract meaning quickly.

• Handles document summarization inside the app
• Reduces need for context switching
• Improves decision-making on unstructured content

Watch the video to follow along and see Dash Enterprise in action across these real-world use cases.