Live | Available for Integration

DataViz Engine

Transform Your Data into Dynamic Insights

Turn complex business data into interactive dashboards and automated reports. We handle the entire pipeline from database replication to visualization. No more manual reporting, no more data silos.

Real-Time Dashboards
Automated Report Generation
AWS Database Replication
Custom Analytics Workflows

Your Data is Trapped

Companies have data scattered across multiple databases, tools, and systems. Creating dashboards requires expensive BI tools and dedicated analysts. Reports are generated manually, leading to delays and errors. Leadership makes decisions based on outdated information.

The result: Wasted time, missed opportunities, decisions made in the dark.

Automated Intelligence from Your Data

Intelligent Data Pipeline

We build the entire data infrastructure extraction, transformation, loading, and replication. Your production databases remain untouched while we create a real-time analytics environment.

What we handle:

  • DB Replication (AWS RDS, PostgreSQL, MySQL, MongoDB)
  • Zero-downtime data sync
  • ETL pipeline design and implementation
  • Data quality checks and validation
  • Handles 1M+ records per hour

Dynamic Dashboards

Custom dashboards built around your KPIs. Real-time data updates, interactive filtering, drill-down capabilities. Designed for your team's specific needs, not generic templates.

Built with:

  • React-based responsive UI
  • Real-time WebSocket updates
  • Custom visualizations libraries
  • Role-based access control
  • Mobile-responsive design

Automated Reporting

Scheduled reports delivered automatically daily, weekly, monthly. PDF exports, email delivery, Slack notifications. Never manually compile reports again.

Reporting features:

  • Customizable report templates
  • Multi-format exports (PDF, CSV, Excel)
  • Scheduled delivery to stakeholders
  • Automated insights and anomaly detection
  • Historic trend analysis

Enterprise-Grade Data Infrastructure

[ Production DB → Replication → Data Warehouse → Processing → Dashboards/Reports ]

Data Sources

  • AWS RDS (PostgreSQL, MySQL, Aurora)
  • MongoDB
  • MySQL (self-hosted)
  • PostgreSQL (self-hosted)
  • REST APIs for external data
  • CSV/Excel file imports

Processing & Storage

  • Real-time data replication
  • Data warehouse on AWS Redshift/PostgreSQL
  • Stream Processing for real-time updates
  • Historical data archival
  • Automated Backups

Analytics

  • Custom SQL queries
  • Aggregations & Calculations
  • Time-series analysis
  • Cohort analysis
  • Predictive analytics (ML-Powered)

Deployment

  • Multi-tenant architecture
  • AWS infrastructure
  • Auto-scaling for traffic spikes
  • 99.9% Uptime SLA
  • Disaster recovery included

Built for Data-Driven Teams

SaaS Analytics

For: Product Teams, SaaS Companies

Scenario

Track user engagement, feature adoption, churn metrics, revenue analytics

Result

Real-time product dashboards, automated monthly reports to investors, cohort analysis for growth teams.

E-Commerce Intelligence

For: D2C Brands, Online Retailers

Scenario

Monitor sales performance, inventory levels, customer behavior, campaign ROI

Result

Daily sales dashboards, automated weekly reports to leadership, predictive inventory alerts.

Financial Reporting

For: Financial platforms, Corporate Finance

Scenario

Compliance reporting, transaction monitoring, revenue tracking, audit trails

Result

Automated regulatory reports, real-time transaction dashboards, historical audit exports.

From Data Access to Live Dashboards in 2-3 Weeks

Week 1

Discovery & Setup

  • Access to your databases
  • Understanding your KPIs and reporting needs
  • Architecture design for your data pipeline
  • Security and compliance review
Week 2

Build & Test

  • Data pipeline development
  • Database replication setup
  • Dashboard interface development
  • Initial testing with your team
Week 3

Deploy & Train

  • Production deployment
  • Team training on dashboards
  • Report schedule setup
  • Handover and support documentation

Technology Stack

Backend:Python, FastAPI, Celery for async processing
Data Pipeline:Apache Airflow, AWS Data Pipeline
Storage:PostgreSQL, AWS Redshift
Frontend:React, D3.js for visualizations
Deployment:AWS (EC2, RDS, Lambda)
Monitoring:CloudWatch, custom alerting

Pricing Model

Pricing based on data volume, number of dashboards, and update frequency. Each implementation is custom.

What affects cost:

Number of data sources to integrate
Data volume (millions of records)
Dashboard complexity and customization
Real-time vs batch processing
Number of users and access levels
Schedule a Call for Custom Quote

See DataViz Engine in Action

Watch a demo showing real-time dashboard updates, automated report generation, and custom analytics workflows.

Discuss Your Use Case

Email: dataviz@demanualai.com