公司规模
200-1,000
地区
- Pacific
国家
- Australia
产品
- Looker
技术栈
- Looker
- Segment
- Braze
- Zendesk
- Slack
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Customer Satisfaction
- Environmental Impact Reduction
- Productivity Improvements
技术
- 分析与建模 - 预测分析
- 分析与建模 - 实时分析
适用行业
- 汽车
- 运输
适用功能
- 物流运输
用例
- 车队管理
- 预测性维护
服务
- 数据科学服务
- 系统集成
关于客户
Car Next Door is an Australia-based car-sharing service that is making an impact with its unique car-sharing service to help foster a cleaner, greener environment. Through the Car Next Door platform, neighbors help neighbors reduce waste and greenhouse gas emissions by safely, easily, and cost-effectively sharing their idle cars by the hour, by the day, or for longer periods of time. Car Next Door estimates that for every car that’s shared, there are up to 10 fewer cars on the road, as car borrowers are less likely to purchase and use their own vehicles. The Sydney company was launched in 2012, with 20 cars and 60 borrowers. By 2019, the total number of shared cars increased to more than 3,000. With its environmentally conscious ethos, Car Next Door offsets the carbon produced from every mile that’s driven. To date, offsets have planted 40,500 trees in biodiverse Australian forests.
挑战
Car Next Door, an Australia-based car-sharing service, was relying on a homegrown data analytics solution. However, as the company grew, the internal development team was spending a disproportionate amount of time servicing data requests rather than focusing on product development. The company was facing issues with inconsistent metric definitions and data accuracy. Users typically worked with static data in spreadsheets, leading to human errors that were often undetectable, causing distorted results. The company was looking for a solution that would make data easily accessible to the company at large and provide real value across multiple aspects of the business.
解决方案
Car Next Door selected Looker for its power and flexibility. With Looker, they can now access and analyze trusted data in real-time. Implementing Looker resulted in a 97% increase in efficiency for the process of adding new data sets. These updates to the data model are now made in minutes vs. days. Looker has enabled richer and faster analytics for Car Next Door and created a data-driven culture that improved efficiency across the business. Every department has created custom data experiences based on their unique needs, allowing the entire company to make better decisions for a more sustainable future. Looker’s geospatial functionality identifies cars in locations associated with weather events. Segment then creates a cohort of users associated with those cars. And Braze SMS sends alerts to drivers about potential hazards to help them get to safety and prevent loss or damage to vehicles or personal property.
运营影响
数量效益
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