Glossary

Embedded analytics

Charts, reports or dashboards built directly into another application instead of a separate BI tool.

Embedded analytics is analytics content, most often a dashboard or chart, delivered inside the workflow of another product rather than accessed by logging into a standalone BI tool. A logistics platform showing customers their own shipment-performance charts, or a SaaS product with a built-in usage report, are both embedded analytics.

It is typically built with an SDK, an iframe, or an API from a BI vendor, and is white-labeled to match the host application's look and feel. Because the same dashboard often serves many customer accounts, the underlying business intelligence platform needs multi-tenant row-level security so that each viewer only ever sees their own data, along with caching to keep load times reasonable at scale.

Embedded analytics matters as a product differentiator: customers get insight without leaving the application, and the vendor can charge for a capability that would otherwise require exporting data to a separate Self-service BI tool. The main pitfalls are performance under many concurrent tenants, keeping embedded metric definitions in sync with any internal reporting on the same data, and underestimating the ongoing cost of supporting an analytics feature as part of the core product.

Last reviewed September 19, 2026

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Related terms

Business intelligence (BI) The practice of turning company data into dashboards, reports and metrics that guide business decisions. Dashboard A visual display of the metrics a team needs to monitor, usually updated on a schedule or in real time. Self-service BI BI tooling that lets business users build their own reports and explore data without waiting on IT or analytics teams. Data visualization Representing data graphically so that patterns, trends and outliers are easier to see than in a table of numbers.

Related tools

Aptos Unified retail commerce platform covering point of sale, merchandising and order management, with built-in analytics and reporting. Cube Open-source headless semantic layer that defines metrics once and serves them via SQL, REST, and GraphQL APIs to any BI tool or app. Domo Cloud-native BI platform aimed at business leaders, pairing dashboards and mobile access with a low-code app layer for building workflows on top of data. Embeddable Code-first embedded analytics platform with a governed semantic layer and native web-component embedding, no iframes. Jaspersoft Long-standing embedded BI and pixel-perfect reporting platform, now owned by Actian, built on the open-source JasperReports engine. Knowi Federated-query analytics platform that embeds white-labeled dashboards without requiring a data warehouse or ETL first.

Related guides

How to choose a BI tool Pick a BI tool by who builds, who reads, where metrics are defined and what viewers cost, not by the chart gallery in the demo. How to choose a semantic layer Semantic layers differ by where they sit relative to the warehouse and who they serve — one BI tool, every BI tool, an app, or an AI agent. How to choose a visualization library Pick a visualization library by language, how much custom control you need, and whether commercial licensing is worth it — not by demo gallery polish. How to choose an embedded analytics platform Embedded analytics is bought by product teams, not analysts — choose by how it embeds, where tenant data lives, and how pricing scales per customer. How to choose an enterprise BI platform Governed enterprise BI is a different purchase than self-service BI — buy for semantic-layer governance, ecosystem fit, and AI maturity, not chart style.