Case Study: CARTO for City Development Vizonomy: Assesing Climate Risk
Customer Company Size
SME
Region
- America
Country
- United States
Product
- CARTO’s Enterprise Platform
- Vizonomy’s Climate Risk Platform
Tech Stack
- Cloud-based GIS
- Data Visualization
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Cities & Municipalities
Applicable Functions
- Business Operation
- Logistics & Transportation
Use Cases
- Predictive Maintenance
- Real-Time Location System (RTLS)
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
About The Customer
Vizonomy is a computer software company that evaluates risk using open data and technologies. They combine various asset and hazard layers to gain insight and build tools that assist in risk management and insurance related decisions. Vizonomy harnesses data to help partners respond to disasters, plan future development, track conflict, and prepare for climate change. Their clients include organizations of all sizes: from multi-lateral development agencies, such as the Inter-American Development Bank and USAID, to startups and nonprofits like, Weather Analytics and the World Wildlife Fund.
The Challenge
Vizonomy, a computer software company, was faced with the challenge of making natural risk assessments and hazard mitigation plans accessible to a wider range of stakeholders. Traditionally, these assessments were only available to a select number of government stakeholders who could afford the costs associated with the process. As a result, few communities were able to develop a plan and thereby become eligible for federal resources should a natural disaster occur. Additionally, the traditional risk assessment process was built on a static model, where datasets quickly become out-of-date and new assessments cannot be developed easily without external assistance.
The Solution
Vizonomy used CARTO, open data, and open source software to create a Climate Risk Platform that lowered the cost of a typical climate risk assessment by 80%. The platform uses the most up-to-date datasets found throughout government: from FEMA floodplains and NOAA sea level rise scenarios to more than 70 other layers representing buildings, schools, populations, and more — all synchronized to their source in real-time. The local resiliency officer, floodplain manager, or urban planner can then run their own customized analysis and share his results via social media or print.
Operational Impact
Quantitative Benefit
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