Turn Your Data into Actionable Insights

Build a custom analytics dashboard with real-time visualizations, KPI tracking, drill-down reports, and scheduled data exports.

Project type: Analytics Dashboard

Key Features

  • Interactive Charts & Graphs: Line charts, bar graphs, pie charts, heatmaps, and scatter plots with hover tooltips and zoom controls.
  • KPI Widgets: At-a-glance metric cards showing key business indicators with trend arrows and period comparisons.
  • Custom Report Builder: Drag-and-drop report builder for creating custom views with filters, grouping, and calculated fields.
  • Scheduled Exports: Automated daily or weekly report exports to email as CSV, PDF, or Excel attachments.
  • Data Source Connectors: Pull data from databases, REST APIs, Google Analytics, or CSV uploads into a unified dashboard.

Estimate

Hours: 90 - 150 hrs | Cost: $180 - $300 | Timeline: 3 - 5 weeks

Tech Stack

  • React: Frontend
  • D3.js / Recharts: Data Visualization
  • Node.js: Backend
  • PostgreSQL: Data Warehouse
  • Redis: Query Caching

Milestones

  1. Discovery & Design (15%): Identify key metrics, map data sources, and design the dashboard layout.
    • KPI and metrics specification
    • Data source inventory
    • Dashboard layout mockups
    • Data pipeline architecture
  2. Data Pipeline (30%): Build data connectors, ETL pipelines, and the query layer for aggregations.
    • Data source connectors
    • ETL pipeline for data ingestion
    • Aggregation query layer
    • Data caching strategy
  3. Visualizations & Reports (40%): Implement charts, KPI widgets, the report builder, and export functionality.
    • Interactive chart components
    • KPI widget dashboard
    • Custom report builder
    • CSV, PDF, and Excel exports
  4. QA & Launch (15%): Validate data accuracy, optimize query performance, and deploy to production.
    • Data accuracy validation
    • Query performance optimization
    • Production deployment
    • Dashboard user guide

Frequently Asked Questions

Can the dashboard handle millions of rows of data?
Yes. The data pipeline uses pre-aggregation and caching strategies so dashboards load in seconds even with millions of underlying records.
Can I connect my own database?
The system supports direct connections to PostgreSQL, MySQL, and MongoDB, plus REST API and CSV ingestion for other sources.
Are the dashboards real-time?
Dashboards can refresh on a configurable interval from every 5 seconds to daily, depending on your data freshness requirements.