DataViz Analytics Dashboard

Overview

DataViz is an enterprise-grade analytics platform that transforms raw data into actionable insights through interactive visualizations and automated reporting.

The Challenge

Our client needed to consolidate data from 15+ sources into a single dashboard that could:

• Visualize millions of data points without lag
• Support real-time streaming data with sub-second updates
• Allow non-technical users to build custom reports
• Handle complex filter combinations across large datasets

Technical Approach

High-Performance Charting

We combined D3.js with canvas rendering for datasets exceeding 100K points:

function ScatterPlot({ data }: { data: DataPoint[] }) {
  const canvasRef = useRef<HTMLCanvasElement>(null)

  useEffect(() => {
    const ctx = canvasRef.current?.getContext('2d')
    if (!ctx) return

    // Use canvas for large datasets, SVG for small ones
    if (data.length > 10000) {
      renderCanvas(ctx, data)
    }
  }, [data])

  return <canvas ref={canvasRef} />
}

ClickHouse for Analytics

We chose ClickHouse over PostgreSQL for analytics queries:

• 100x faster for aggregation queries on large datasets
• Columnar storage optimized for read-heavy workloads
• Native support for time-series operations

Drag-and-Drop Report Builder

Used a custom drag-and-drop system with constraint validation:

• Users select dimensions and metrics from a sidebar
• The system validates combinations that make analytical sense
• Reports auto-generate with appropriate chart types

Results

• 3 second average dashboard load time with 10M+ rows
• 85% adoption rate among target users within 3 months
• 60% reduction in time spent creating manual reports
• Successfully processing 2TB+ daily data ingestion

Lessons Learned

1. Canvas rendering is essential for large dataset visualization
2. ClickHouse's learning curve pays off massively for analytics workloads
3. User research before building the report builder saved months of iteration