December 2022 Summaries

The article advocates for using interactive embedding to provide customer-facing analytics in applications, emphasizing it as the most scalable and efficient method. It contrasts interactive embedding with public links, static embeds, and signed embeds, highlighting how interactive embedding offers a comprehensive suite of tools such as SAML and JWT SSO integration, data sandboxing, and customizable charts. These features allow for a multi-tenant and self-service analytics environment where customers can independently query data without burdening the service provider with ad hoc requests. While acknowledging the upfront costs associated with interactive embedding, the article argues that the long-term return on investment far exceeds that of alternative solutions, which can incur significant technical debt and operational overhead. For pre-revenue startups, the decision to implement interactive embedding depends on the market's demand for customer analytics and the startup's budget, but delaying can be detrimental if analytics are expected features. Public and signed embeds are suitable for limited use cases where interactivity and permissions are not concerns, such as sharing benchmarking stats across all tenants.