下载PDF
TrueCar® Drives Towards Happy Customers with Imply
技术
- 分析与建模 - 实时分析
- 应用基础设施与中间件 - 数据交换与集成
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 汽车
- Software
适用功能
- 商业运营
- 销售与市场营销
用例
- 实时定位系统 (RTLS)
服务
- 云规划/设计/实施服务
- 数据科学服务
- 系统集成
挑战
TrueCar, a digital native company, sought a better solution for analyzing real-time clickstream data to detect anomalies in user activity. The existing data warehouse and business intelligence stack did not provide the required low latency. Additionally, TrueCar was concerned about the cost of scaling to support analytics on large and growing amounts of streaming data. They wanted to make analytics available not just to analysts but also to business users in diverse functions such as marketing and finance, without the time and risk of building an end-to-end analytics capability from scratch.
关于客户
TrueCar is a platform that provides consumers with an efficient and transparent way to find a car. Users can learn what others paid for a new vehicle in their local area and receive upfront, transactable prices on specific vehicles on the dealer’s lot. They can also build many parts of their deal with the dealer online, including loan and lease payments as well as their trade-in. Additionally, consumers can search dealers’ inventories of quality used and certified previously owned (CPO) vehicles with intelligent price ratings and free condition summaries. TrueCar users purchase approximately one million cars from the approximately 15,000 dealers in its network each year.
解决方案
TrueCar chose Imply Cloud to help them make their dashboards real-time, detect anomalies, and minimize engineering and operational overhead. Their data architecture uses Amazon Kinesis and Spark Streaming for data ingestion and preparation, Imply Cloud for analytics, and HDFS for deep storage. The Imply analytics engine connects to the Imply Pivot analytics UI to power real-time self-service data applications and also connects to Tableau to provide executive dashboards. With Imply, TrueCar aims to unlock insights from digital interaction data from their core services, further empower their data scientists and product teams to improve services with increased agility, deliver a higher quality experience, and ensure they are investing in the right areas of the TrueCar platform.
运营影响
数量效益
相关案例.
Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
Case Study
Monitoring of Pressure Pumps in Automotive Industry
A large German/American producer of auto parts uses high-pressure pumps to deburr machined parts as a part of its production and quality check process. They decided to monitor these pumps to make sure they work properly and that they can see any indications leading to a potential failure before it affects their process.
