Building Better Analytics

A plain-English breakdown of conversational analytics versus chatbots, covering NLQ, latency, quality guardrails, and when agents complement dashboards.

Why a semantic layer matters for embedded analytics—governing metrics, ensuring consistency, enabling NLQ, and accelerating time-to-insight with auto-mapping.

Actionable guidance on performance tuning, caching, concurrency control, and autoscaling to keep embedded analytics fast at scale without ballooning cloud spend.

The essential technical checklist for embedding analytics in a SaaS app, covering SDK integration, SSO, multi-tenancy, caching, and front-end support.

A clear framework to quantify ROI from embedded analytics using adoption, engagement, revenue uplift, and support-cost reduction—plus simple payback modeling.

Practical UX patterns to beat dashboard fatigue by delivering contextual, in-workflow analytics that cut context switching and boost engagement.

A concise 2025 buyer’s guide comparing embedded analytics and traditional BI, showing when each fits best for SaaS products and in-workflow decision-making.

A comparative look at the major embedded analytics tools on the market this year, offering clear insights to help your team make an informed decision.