How Propert EASY enabled intelligent decision-making with GIS Art

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Project overview

Project deteils

Case Study Summary

Industry

Healthcare

Client

Innovation Economy Research Center

Project duration

12 months

Location

Haifa, Israel

Team

2 FTE

Services

Custom startup ecosystem development, Data solutions, Portals, Accelerator program

Our approach / Solutions

Project overview

GIS Art partnered with an innovation economy research center to enhance their global startup ecosystem map. The project improved performance for 80,000+ spatial objects, enhanced UI and code quality, and added features like category filters and synchronized views. These updates streamlined navigation, improved usability, and increased user engagement.

Сhallenge

The innovation economy research center faced challenges with their global startup ecosystem map, including slow loading times and inefficient search functionality. Managing large datasets of 80,000+ objects strained performance, limiting usability and user satisfaction. They also needed to improve code quality and reinforce their in-house team with GIS expertise.

Their goal was to optimize the platform’s performance, enhance the user experience, and introduce new features like category filtering and synchronized views. These improvements were critical to attract more users, boost engagement, and drive revenue growth.

Our Approach

Solution

Comprehensive Analysis

We conducted a thorough analysis of the existing system to identify performance bottlenecks and areas for improvement. This analysis guided the strategic implementation of solutions.

Phased Implementation

The Agile methodology allowed for incremental updates, minimizing risks and ensuring each enhancement was fully tested before deployment. All improvements were delivered in sprints to align with user needs and goals.

Feature Enhancements

We optimized performance, improved UI and code quality, and added new features, including category filters, synchronized views, and navigation tools like “Go Back” and “Reset” buttons, to improve usability and streamline navigation.

Main Features and Improvements

Clustering Mechanism: Server-side clustering to handle and display 80,000+ map objects efficiently.
Enhanced Search: Optimized search functionality for faster, more accurate results.
Category Filtering: Advanced filters to refine user searches by categories.
List-Map Synchronization: Seamless alignment between map and list views for a consistent user experience.
Navigation Tools: Added “Go Back” and “Reset” buttons to improve map navigation.
Data Integrity: Addressed issues with storing city data during startup creation for reliable data management.
Code Refactoring: Improved the code quality for better performance and maintainability.

Tech Stack and Architecture

Tech Stack

GIS: Google Maps
Frontend: JavaScript, HTML, CSS
Backend: Node.js, JavaScript
Database: MySQL

Software Architecture

The platform utilized a modular design to optimize data processing and ensure scalability. The map performance for a high amount of data was optimized via server side clustering. The search fucntionality performance was optimized by using Node.js.

Business Outcomes

GIS Art delivered measurable improvements for the innovation economy research center:

Faster Performance: Backend optimization and spatial data clustering reduced loading times and enhanced responsiveness.
Improved Usability: Features like category filters and synchronized views created a seamless, user-friendly experience.
Increased Engagement: Enhanced functionality attracted more users, expanding the platform’s global audience.
Revenue Growth: Improved user satisfaction and broader reach resulted in increased profitability.
Future-Ready: Scalable design and improved code quality positioned the platform for long-term success and easy integration of future enhancements.

These results strengthened the center’s position as a leading resource for startup ecosystem insights.

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