Build Analytics Dashboard With Automated Reports

# Project Title: Develop a Full-Stack Business Analytics Dashboard with Automated Reporting

**Project Budget:** $1,500 USD (Fixed Price)

**Project Type:** Web Development, Data Analytics, Database Integration, and Automation

**Experience Level:** Intermediate to Expert

**Estimated Duration:** 3–5 weeks

## Project Description

We are seeking an experienced full-stack developer to design and develop a comprehensive, web-based business analytics dashboard that integrates multiple data sources, automates data processing, and provides interactive reporting capabilities.

The system should enable business owners and administrators to monitor performance, analyze trends, manage business information, and generate detailed reports through a modern, responsive interface.

The successful freelancer will be responsible for the complete development process, including system architecture, database design, frontend development, backend integration, testing, and deployment.

## Project Requirements

### 1. Interactive Analytics Dashboard

Develop a professional dashboard featuring:

- Revenue and expense tracking
- Customer acquisition and retention metrics
- Sales performance visualization
- Monthly and quarterly performance comparisons
- Interactive charts, graphs, and tables
- Advanced filtering by date, category, and department
- Key performance indicators (KPIs)
- Real-time or scheduled data refreshes

### 2. Backend Development and Database Integration

Build a secure backend system supporting:

- REST API development
- PostgreSQL or MySQL database integration
- Automated data synchronization
- Efficient database queries
- Data validation and error handling
- Secure authentication and role-based access control
- Administrative user management

### 3. Automated Reporting System

Implement a reporting module capable of:

- Generating PDF and Excel reports
- Scheduling daily, weekly, and monthly reports
- Sending reports through email
- Creating customizable report templates
- Exporting filtered dashboard information
- Maintaining report generation history

### 4. Data Import and Processing

The platform should support:

- CSV and Excel file uploads
- Automated data cleaning and validation
- Duplicate detection
- Data transformation
- Import history and error logs