Ship Customer-Facing Analytics in Your SaaS Product

You add customer-facing analytics by embedding dashboards into your application via iframe or JavaScript API, with SSO passthrough so users log in once. The embedded layer needs multi-tenant data isolation to ensure each customer only sees their own data. Knowi supports both iframe and API embedding with automatic tenant filtering, full white-label branding, and SAML/OAuth SSO integration out of the box.

The best embedded analytics tool for B2B SaaS is one that offers native database connectors, full white-labeling, multi-tenant security, and fast time to deployment. Building analytics internally typically costs over $500K per year in engineering salaries and takes 6 to 12 months before your first customer sees a dashboard. Knowi connects directly to 100+ data sources without requiring a data warehouse, supports complete white-label customization, and can go live in days rather than quarters.

Multi-tenant data isolation works by applying row-level security filters at query time, so every database request is automatically scoped to the authenticated tenant. The analytics platform reads the tenant ID from the user's SSO token and injects it as a filter condition before the query executes. This means no tenant can ever access another tenant's data, even if they modify the embed URL or inspect network requests. Knowi enforces this isolation at the query engine layer, not just the UI layer.

Yes, modern embedded analytics platforms offer full white-label control including your logo, color palette, fonts, custom domain, and removal of all vendor branding. The goal is for your customers to never know a third-party tool powers the analytics. Knowi provides CSS-level customization of every UI element, custom domain hosting, and branded email alerts, so the experience is indistinguishable from a feature you built yourself.

A basic iframe embed can be live in your staging environment the same day. A full production deployment with white-labeling, SSO integration, and multi-tenant security typically takes one to two weeks. This compares to 6 to 12 months for an in-house build. Knowi provides pre-built embed components and SSO templates that eliminate most of the integration engineering.

No, you do not need a data warehouse to embed analytics. Many embedded analytics platforms can connect directly to your production databases, APIs, and third-party data sources without an intermediate storage layer. Knowi queries data at the source and performs cross-source joins at query time, which means you skip the cost and complexity of building and maintaining a warehouse pipeline. This is especially useful for SaaS teams that want analytics live fast without a data engineering project.

For most SaaS companies, buying an embedded analytics tool is significantly faster and cheaper than building in-house. An internal build requires front-end visualization work, a query engine, multi-tenant security, access controls, and ongoing maintenance, which typically adds up to $500K or more per year in engineering cost. An embedded tool like Knowi delivers all of that out of the box and lets your engineering team stay focused on your core product instead of maintaining a parallel analytics stack.

Yes, self-service analytics is a core feature of modern embedded platforms. Your customers can use drag-and-drop report builders, natural language search, and pre-built templates to create their own visualizations without writing SQL or asking your support team. Knowi includes a self-service builder with granular permission controls, so you decide exactly which data sources, fields, and chart types each customer role can access.

Knowi provides two primary embedding methods. The fastest is iframe embedding: you build a dashboard in Knowi, generate an embed URL, and drop it into your app with a single HTML tag. For deeper integration, the Knowi API gives you programmatic control over dashboards, widgets, filters, and user management. Both methods support SSO so your customers log in through your app without a separate Knowi login. Most teams go from first connection to embedded dashboard in under a week.

Yes. Knowi supports full white-labeling. You can customize the logo, color palette, fonts, chart styles, and even the domain so dashboards load from your own URL. Your customers interact with analytics that look and feel like a native part of your product. There is no Knowi branding visible to end users unless you choose to show it.

Knowi enforces row-level security at the query layer. When a customer logs in through SSO, their tenant ID is passed to Knowi, and every query is automatically filtered to return only that tenant's data. This is not a UI-level filter that can be bypassed. The security is applied before data leaves the database, so tenants never have access to each other's records. You can also create tenant-specific dashboards, filters, and permissions for more granular control.

Knowi supports 30+ data sources out of the box, including PostgreSQL, MongoDB, MySQL, Snowflake, BigQuery, Redshift, Elasticsearch, Couchbase, Cassandra, DynamoDB, REST APIs, GraphQL, JSON, CSV, and S3. You can also join data across multiple sources in a single query without replicating anything into a warehouse. This means you can connect directly to whatever database powers your SaaS product and start building dashboards immediately.

Most teams go from initial setup to a working embedded dashboard within a few days. The typical timeline is: Day 1, connect your database and build your first dashboard. Day 2 to 3, configure white-labeling, SSO, and row-level security. Day 3 to 5, embed into your app and test with real tenant data. Compare this to building in-house, which typically takes 6 to 12 months of engineering time and ongoing maintenance after launch.

No. Knowi connects directly to your product database. If your app runs on PostgreSQL, MongoDB, or MySQL, Knowi queries those databases directly without requiring you to replicate data into Snowflake, BigQuery, or any other warehouse. This eliminates the ETL pipeline, reduces infrastructure costs, and means your embedded dashboards show live data instead of stale warehouse copies. If you already have a warehouse, Knowi connects to that too.

Building analytics in-house typically requires 6 to 12 months of engineering time to develop charting, filtering, multi-tenancy, export, scheduling, and access controls. After launch, your team owns ongoing maintenance, bug fixes, and feature requests. Knowi provides all of those capabilities out of the box with white-labeling, SSO, row-level security, anomaly detection, natural language search, and 30+ data connectors. Most teams ship in under a week and redirect their engineering hours back to their core product.

Yes. Knowi includes self-service capabilities that let your end users create their own visualizations, apply filters, and explore data without writing SQL. The natural language search feature allows customers to type questions in plain English and get instant chart responses. You control how much self-service access each customer or role has, from view-only dashboards to full report-building permissions.

Knowi is SOC 2 Type II certified for cloud deployments. For organizations with stricter requirements, Knowi supports on-premises and private cloud deployment via Docker and Kubernetes so data never leaves your infrastructure. Additional security features include SSO integration (SAML, OAuth), role-based access controls, row-level security, audit logging, and API token management. A Business Associate Agreement (BAA) is available for healthcare and other regulated industries.