An interactive, professionally branded Business Intelligence (BI) dashboard built with HTML, CSS, JavaScript, Chart.js, and Leaflet to analyze and visualize OLA Ride Booking Data.
- Dynamic Charts & KPIs: Interactive bar, line, and pie charts powered by Chart.js.
- Geospatial Insights: Ride distribution and hotspot mapping using Leaflet.
- Branded UI/UX: Custom color palette, typography, and logo placement for professional presentation.
- Interactive Filters & Slicers: User-driven analytics with smooth filtering.
- Export Options: Working buttons to export reports in PDF, PPT, and CSV formats.
- Responsive Layout: Optimized for desktop and mobile viewing.
This dashboard transforms raw OLA booking data into actionable insights:
- Ride volume trends over time
- Market share breakdowns and competitor comparisons
- Revenue and performance KPIs
- Regional demand analysis with maps
- Frontend: HTML, CSS, JavaScript
- Visualization Libraries: Chart.js, Leaflet
- Data Source: Excel/CSV integration for real-time analytics
- Title: OLA ANALYTICS DASHBOARD
- Author: Rajeshwar Shingade
- Branding: Uppercase titles, bold headers, and consistent color codes for professional identity
👉 This repository is ideal for showcasing data visualization, dashboard design, and BI storytelling skills. It bridges technical coding with business intelligence, making it a strong portfolio project.