TrueCar 采用 Imply Cloud 增强自助服务分析
技术
- 分析与建模 - 实时分析
- 传感器 - 自动驾驶传感器
适用行业
- 汽车
- 消费品
适用功能
- 采购
- 质量保证
用例
- 智能停车
- 车辆到基础设施 (V2I)
服务
- 云规划/设计/实施服务
- 测试与认证
关于客户
TrueCar 是领先的汽车数字市场，将汽车购买者与全国范围内的认证经销商网络连接起来。该公司致力于通过更多的在线购买流程来打造业界最个性化、最高效的汽车购买体验。 TrueCar 提供了一套车辆发现工具、价格评级以及新车和二手车的市场背景，所有这些都可以清楚地了解什么是超值优惠。 TrueCar 还为 250 多个领先品牌的汽车购买计划提供支持，包括美国退休人员协会 (AARP)、山姆会员店 (Sam's Club) 和美国运通 (American Express)。近一半的新车购买者会访问由 TrueCar 提供支持的网站。
挑战
TrueCar 是一家领先的汽车数字市场，在分析实时点击流数据以检测用户活动异常方面面临挑战。现有数据仓库和商业智能堆栈的延迟高于预期，并且扩展以支持对大量且不断增长的流数据进行分析的成本是一个问题。 TrueCar 希望不仅为分析师提供分析功能，还为营销和财务等不同职能领域的业务用户提供分析服务。他们试图在不花费时间和风险从头开始构建端到端分析能力的情况下实现这一目标。
解决方案
TrueCar 选择 Imply Cloud 作为其自助分析平台来应对这些挑战。目的是使他们的仪表板实时、检测异常，并同时最大限度地减少工程和运营开销。 TrueCar 计划通过 Imply 来从其核心服务的数字交互数据中获取见解，进一步增强其数据科学家和产品团队的能力，以提高敏捷性来改进服务，提供更高质量的体验，并确保他们投资于 TrueCar 的正确领域平台。 TrueCar 的数据架构使用 Amazon Kinesis 和 Spark Streaming 进行数据提取和准备，使用 Imply Cloud 进行分析，使用 HDFS 进行深度存储。 Imply 分析引擎连接到 Imply Pivot 分析 UI，为实时自助数据应用程序提供支持。它还连接到 Tableau 以提供执行仪表板。
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