The embedded analytics platform that powers smarter apps
Build and embed analytics with maximum flexibility, now powered by AI for a seamless, interactive experience for builders and users alike.
Companies breaking data barriers
Natively embed dashboards and insights
Achieve pixel-perfect UX control with Sisense Compose SDK, a flexible toolkit for embedding analytics in a scalable way. Use assistant to ask questions in natural language, and create custom data visualizations directly from your application.
Quickly integrate
The assistant lets users embed SDK, a JS library, using natural language. This makes it easier to connect apps with analytics dashboards, and streamlines communication across components.
Choose what to embed
Leverage Sisense.JS to embed customizable widgets and filters, while retaining full Sisense functionality. This JavaScript library lets you tailor the look and feel of analytics elements to seamlessly blend into your application.
Embed in a few clicks
Get up-and-running with minimal effort and no scripting knowledge by embedding dashboards and widgets with an iFrame HTML tag.
Empower your product with AI-driven embedded analytics
White-label and customize
AI-powered insights
Customer success and training
Developer-first APIs
Self-service analytics
Enterprise-grade security
Embedded analytics FAQ
Embedded analytics are data visualization and reporting tools built directly into your existing software applications. Instead of switching between different platforms to view reports and dashboards, you access all your analytical insights within the applications you already use daily.
Embedded analytics connect to your data sources and present information through APIs, widgets, or iframe integrations within your host application. The process starts when your application makes requests to the analytics engine, which then processes your data and returns formatted visualizations or reports.
Embedded analytics provides real-time data insights directly within applications, eliminating the need to switch between platforms. Key benefits include improved user experience, faster decision-making, increased user engagement, and seamless workflow integration. Organizations experience higher adoption rates and reduced training costs while maintaining consistent branding across all analytics touchpoints.