The original title is "How to Build Customer-Facing Analytics for B2B SaaS"

Short summary

B2B SaaS teams typically embed a BI tool or build custom charts, but both approaches burn engineering time on infrastructure instead of product. Embedded BI tools struggle with multi-tenancy, white-labeling, and per-user pricing, while custom builds create metric drift and maintenance debt. A governed metric layer serving dashboards, APIs, AI agents, and exports from one definition avoids both traps.

• •Embedded BI tools add multi-tenancy, styling, and licensing friction
• •Custom analytics builds create metric drift and ongoing maintenance debt
• •A shared metric layer can serve dashboards, APIs, AI agents, and exports consistently

Generated with AI, which can make mistakes.