Embedded Analytics vs Business Intelligence: How They Differ and When to Use Each

Business intelligence (BI) and embedded analytics are distinct yet complementary approaches to data delivery, differing primarily in audience and delivery surface. While BI caters to internal employees using standalone platforms for data analysis, embedded analytics integrates analytical capabilities directly into customer-facing products, providing insights within the context of the user's workflow. This distinction impacts the architecture, governance, and platform ownership, with BI often managed by data and IT teams and embedded analytics involving product and engineering teams. Embedded analytics demands multitenant isolation and specific technical requirements like tenant-aware access control, whereas BI relies on corporate identity and role-based security. Sigma offers a unified solution, enabling both BI and embedded analytics through a single governed connection to a cloud data warehouse, maintaining data consistency and governance across internal and external audiences without duplicating infrastructure.

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