WHAT SHOULD YOU REALLY BE EVALUATING?

There’s more to embedded analytics than just features and pricing. This guide breaks down four critical pillars that determine long-term success.

1. Data Architecture

What it means: How the platform connects to, stores, processes, and transforms your data.

Why it matters: Your analytics are only as fast, flexible, and secure as the architecture that powers them. Misalignment here leads to brittle solutions and costly rework.

2. Deployment Models

What it means: The level of flexibility you have in hosting, configuring, and managing the platform.

Why it matters: SaaS teams need options—cloud-native, hybrid, and on-prem—to meet evolving security, compliance, and infrastructure requirements.

3. Multi-Tenant Scalability

What it means: The ability to securely support many customers from a single application instance.

Why it matters: True multi-tenancy drives efficiency, but most platforms require complex workarounds to achieve it. This guide shows you what to look for.

4. Embedded Experience

What it means: How deeply the analytics can integrate into your app, brand, and user workflow.

Why it matters: Great analytics should feel like a natural part of your product—not an external tool bolted on. A seamless experience improves adoption and customer satisfaction.