Evidence Embedded Analytics

Product Introduction

1. Definition: Evidence Embedded Analytics is a code-first embedded analytics platform designed for data teams. It enables the creation of customer-facing reports and dashboards using SQL and markdown, integrated directly into web applications via APIs and iframes.
2. Core Value Proposition: It replaces drag-and-drop BI tools with a version-controlled, Git-ops workflow, allowing data teams to build, test, and deploy embedded analytics as code. This ensures reliability, scalability, and brand consistency for customer-visible data products.

Main Features

1. Code-First Development:

   • Build dashboards using SQL queries and markdown syntax stored in Git repositories.
   • Automated version control, pull requests, and CI/CD pipelines via GitHub/GitLab integration.
   • Eliminates UI-driven workflows, enabling collaborative development among data engineers.

2. Row-Level Security (RLS):

   • Enforces data access at the database level using JWE-encrypted user attributes.
   • Declarative table-level permissions ensure customers only see their data without custom middleware.
   • Supports encrypted single-use URLs and configurable session timeouts.

3. High-Performance Query Engine:

   • Delivers sub-second response times on million-row datasets via intelligent caching and automatic scaling.
   • Optimized for interactive filtering, sorting, and drill-downs without manual tuning.
   • Uses a lightweight compiled JavaScript engine for client-side computations.

4. Customizable Theming:

   • Live theme editor with instant preview for colors, fonts, and UI components.
   • CSS-in-JS support for pixel-perfect brand alignment within host applications.
   • Responsive designs adapt to all devices without extra configuration.

5. Global Enterprise Compliance:

   • SOC 2 Type II certified with data residency across 20+ AWS/Azure regions.
   • Multi-language localization for international deployments.
   • Audit trails for dashboard changes and data access.

Problems Solved

1. Pain Point: Fragile, non-scalable embedded analytics built in traditional BI tools (e.g., Tableau, Power BI) lacking version control, code reviews, or deterministic deployment.
2. Target Audience:
   • Data engineers seeking to operationalize analytics within CI/CD pipelines.
   • SaaS product teams requiring secure, brand-consistent customer reporting.
   • Compliance officers needing audit-ready data access controls.
3. Use Cases:
   • Embedding real-time usage dashboards in B2B SaaS applications.
   • Creating personalized financial reports with RLS for multi-tenant systems.
   • Deploying GDPR-compliant analytics across EU/NA regions.

Unique Advantages

1. Differentiation: Unlike drag-and-drop tools (e.g., Looker Embedded), Evidence treats analytics as code—enabling Git workflows, automated testing, and seamless integration with modern data stacks (dbt, Snowflake).
2. Key Innovation: Merge of markdown simplicity with database-native security, allowing SQL-based development without compromising compliance or performance.

Frequently Asked Questions (FAQ)

1. How does Evidence Embedded Analytics handle data security?
   It enforces row-level security at the database layer using encrypted customer attributes, eliminating surface area for breaches.

2. Can I customize dashboards to match my product’s UI?
   Yes, the live theme editor and CSS-in-JS support enable pixel-perfect brand alignment without compromising functionality.

3. What databases are supported for embedded analytics?
   Evidence connects to any SQL-based data warehouse (Snowflake, BigQuery, Redshift) or PostgreSQL-compatible source.

4. Is Evidence suitable for high-traffic customer-facing applications?
   Absolutely. Its optimized engine and automatic scaling ensure sub-second loads even with millions of concurrent users.

5. How does pricing work for enterprise deployments?
   Volume-based licensing with dedicated support, SOC 2 compliance, and custom data residency options.