JFQIM Analytics Frontend

JFQIM Analytics Frontend

Advanced Google Analytics Data Query Interface

August 2023
Private Repository

Overview

JFQIM Analytics Frontend is a web application designed to enhance and streamline Google Analytics data exploration. It provides a powerful interface for building complex queries, visualizing results, and generating insights from website analytics data. The application addresses the limitations of standard Google Analytics reports by offering advanced filtering, custom query capabilities, and an intuitive user experience.

Key Features

  • Advanced Query Builder: Multi-step wizard interface allowing users to construct complex queries with various operators and conditions
  • Interactive Data Tables: Clean, responsive tables with custom cell renderings optimized for different data types and metrics
  • Saved Query Management: System for saving, categorizing, and reusing frequently accessed queries
  • Data Export Capabilities: One-click export of query results to CSV format for further analysis in external tools
  • JWT Authentication: Secure token-based authentication system protecting sensitive analytics data
  • Efficient Pagination: Smart navigation through large datasets with context-aware pagination controls
  • Responsive Design: Mobile-friendly interface that adapts to various screen sizes and devices

Technical Implementation

  • Next.js Framework: Server-side rendering and optimized routing for enhanced performance
  • Redux Architecture: Centralized state management with Redux Toolkit for predictable data flow
  • Headless UI Components: Custom UI components built on Headless UI for accessible, stylable interface elements
  • API Integration: Axios-based communication with backend services handling RESTful requests
  • Form Management: React Hook Form with Yup validation ensuring data integrity
  • Toast Notifications: Non-intrusive user feedback system for actions and events
  • Tailwind CSS: Utility-first styling approach allowing rapid UI development and consistency

Business Impact

This application significantly transforms the analytics workflow by providing:

  • 80% reduction in time spent accessing key performance metrics
  • Enhanced query capabilities beyond standard Google Analytics reporting
  • Persistent storage of complex queries, eliminating repetitive query construction
  • Streamlined export functionality facilitating deeper analysis and comprehensive reporting
  • Improved data visualization making insights accessible to non-technical stakeholders

Technologies Used

ReactReact
TypeScriptTypeScript
Next.jsNext.js
ReduxRedux
Tailwind CSSTailwind CSS
Headless UIHeadless UI
AxiosAxios