Key challenges
As a startup in the environmental industry, our client aimed to develop a long-term Disaster and Disruption Management System (DDMS) for its customers using Satellite Imagery, Weather Data, and Analytics
Manual analysis and decision-making processes followed in the industry hindered the ability to leverage advanced analytics for outage prediction and resource allocation in their DDMS. Our customer partnered with us to transform this process using Automation
Without Automation, the scalability and real-time updates of data in the DDMS posed challenges, limiting the effectiveness in vegetation and disaster management
Client in spotlight
Our client is dedicated to creating a greener, cleaner, and safer planet, is at the forefront of climate-resilient infrastructure and sustainable practices. Their products have garnered global recognition, and they were named America's Best Startup Employers in 2023 by Forbes. Leveraging Data Engineering and AI, their mission is to utilize satellite imagery, real-time weather data, and vegetation data to build an agile and user-friendly platform for vegetation management and disaster and disruption management.
Unlocking Digital success
Project outcomes
Enhanced disaster prediction and resource allocation through Advanced Analytics and real-time Data Integration
Minimized customer interruptions and improved operational resilience with the comprehensive Disaster and Disruption Management System (DDMS)
Streamlined data collection, analysis, and reporting for efficient vegetation management and proactive disaster response
Like what we do? You can save this case study.
