Unified Analytics Fabric

Situation

The client had data everywhere: product events, billing data, CRM activity, support tickets, and marketing campaigns—all in different systems, each with their own dashboards.

Teams were asking good questions, but getting reliable answers took days:

• Analysts were constantly writing one-off SQL queries
• Different teams weren’t even using the same definitions for "active user" or "churn"
• Existing BI tools were slow and felt disconnected from the product itself

Goals

• Create a single, trustworthy analytics layer with shared definitions
• Make core metrics fast, explorable, and embedded where work actually happens
• Reduce reliance on bespoke dashboards and manual CSV exports

Solution

Working as Sybil Solutions, 0xSero led the design and implementation of a unified analytics fabric:

• Event modeling & contracts:
  • Cleaned up product events and defined strict schemas for new tracking
  • Introduced versioned event contracts to avoid silent breaking changes
• Ingestion & storage:
  • Streamed events into a central pipeline with buffering, retries, and DLQs
  • Stored time-series data in a database optimized for analytical queries
• Semantic layer:
  • Defined shared concepts: "active workspace", "trial conversion", "retention cohort"
  • Backed them with reusable metrics + dimensions instead of copy-pasted SQL
• Interactive dashboards:
  • Built a React-based front-end that sits alongside the main app
  • Fast drill-downs, saved views, and role-aware access to sensitive data

Outcomes

After the new analytics fabric rolled out:

• The system reliably processes 10M+ events per day
• Most product and growth dashboards load in under 100ms
• Over 500 active dashboards are now used across product, sales, marketing, and ops
• Analysts spend more time on new questions, not re-answering old ones

Stack & Approach

• Frontend: React + component-driven dashboards, optimized for large tables and charts
• Backend: Typed services exposing metrics via a clean, documented API
• Data: Streaming ingestion, optimized analytical storage, and caching for hot paths
• Governance: Ownership, documentation, and review around key metrics to keep trust high

Why This Matters

Strong analytics is infrastructure, not a one-off dashboard project. This case study reflects how Sybil Solutions and 0xSero think about systems: design from first principles, instrument carefully, and ship something teams actually want to use every day.