SaaS / Analytics / Next.js / Data Engineering

SaaS Analytics Dashboard

Real-Time Business Intelligence — 10× Faster Data Processing

Next.jsTypeScriptD3.jsPostgreSQLClickHouseApache KafkaRedisKubernetes
SaaS Analytics Dashboard

Project Details

ClientB2B SaaS Company (Series B)
IndustryEnterprise SaaS / Business Intelligence
Timeline12 Weeks
ServiceSaaS Development, Dashboard Development, Data Engineering
Team2 Next.js Developers, 1 Data Engineer, 1 D3.js Specialist, 1 PM

Project Overview

A Series B SaaS company had a critical gap: their analytics took 4–6 hours to refresh, queried production DBs causing customer-facing latency, and offered only 7 fixed charts with zero drill-down. Strategic decisions were made on stale data.

XCodeSol built a streaming pipeline: Debezium + Kafka Connect for CDC from PostgreSQL (zero production impact), feeding a 3-node ClickHouse cluster — queries that took 4 hours now run in 200ms. Next.js + D3.js frontend with 15 chart types, cross-filtering, 4-level drill-down (Revenue→Region→Country→Rep→Deal), virtual scrolling for 100K-row tables.

Custom drag-and-drop Report Builder lets non-engineers answer questions in under 2 minutes (was 6-week engineering ticket). AI anomaly detection via Facebook Prophet catches revenue anomalies in real-time with Slack alerts. Dashboard adoption: 3 → 127 users across all departments.

Key Features

serverPipeline

Real-Time Data Pipeline

  • Debezium + Kafka Connect CDC from PostgreSQL
  • 3-node ClickHouse cluster: 4 hr queries → 200ms
  • Zero production DB impact via change data capture
pie-chartDashboard

Interactive D3.js Dashboard

  • 15 chart types with cross-filtering on click
  • 4-level drill-down: Revenue → Region → Country → Deal
  • Virtual scrolling for 100K-row data tables
layoutBuilder

Drag-and-Drop Report Builder

  • 200+ pre-modeled KPIs with auto-suggested charts
  • Saved reports shareable via URL, embeddable in Slack
  • Scheduled email delivery: "Email me Mondays at 8 AM"
alert-triangleAI

AI Anomaly Detection

  • Facebook Prophet for time-series forecasting
  • 3-sigma anomaly detection on 12 key metrics
  • Real-time Slack alerts with root cause correlation
maximizeScale

Enterprise-Grade Architecture

  • Kubernetes deployment on AWS EKS
  • Star schema optimized for top 50 analytical queries
  • Cost per query dropped 99% ($0.18 → $0.002)

Results at a Glance

Data Refresh Time↓ 99.99% (4–6 hrs → <3 sec)
Production DB ImpactZero (CDC pipeline)
Time to Answer Questions↓ 99.99% (6 weeks → <2 min)
Quarterly Forecasting↓ 99.8% (3 days → 10 min automated)
Dashboard Adoption42× (3 → 127 users)
Cost Per Query↓ 99% ($0.18 → $0.002)
★★★★★5.0
XCodeSol built us an analytics platform that transformed how we make decisions. Data that took hours is now available in seconds. The report builder put analytics in every department's hands.

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