RelayRides Case Study
Company Size
200-1,000
Region
- America
Country
- United States
Product
- Domo executive dashboard
Tech Stack
- Data Integration
- Data Visualization
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Digital Expertise
- Productivity Improvements
Technology Category
- Analytics & Modeling - Real Time Analytics
- Application Infrastructure & Middleware - Data Visualization
Applicable Industries
- Transportation
Applicable Functions
- Business Operation
Use Cases
- Predictive Quality Analytics
- Real-Time Location System (RTLS)
Services
- Data Science Services
- System Integration
About The Customer
RelayRides is a San Francisco-based company that operates the world’s largest peer-to-peer car-sharing marketplace. The company connects people who need a car with vehicle owners whose rides would otherwise be sitting idle. Since its national launch in 2012, RelayRides has experienced explosive growth, with cars available for rent in over 1,000 cities and in all 50 US states. The company is revolutionizing personal mobility by providing a platform for people to rent cars from others in their community.
The Challenge
RelayRides, the world’s largest peer-to-peer car-sharing marketplace, was facing challenges in making sense of their vast amount of data. The manual reporting process was tedious and slow, which hindered the company's ability to make quick, data-driven decisions. The information wasn’t delivered in real time, which further complicated the decision-making process. The company needed a solution that could automate the reporting process and provide real-time insights.
The Solution
RelayRides implemented Domo's executive dashboard for marketing, product, and customer data. This solution enabled agile, data-driven business decisions by delivering data in a very automated, easily consumable way. The implementation of Domo's solution was straightforward as Domo took care of all the connections for all the different data sources. The Domo engineers had already figured out how to make it work, how to pull the data in, making it all automatic. The design of the platform was also praised for being easy to use and visually appealing.
Operational Impact
Quantitative Benefit
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