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AAA National Helps Independent Clubs + Emergency Road Service Provide Better Service with Alteryx
技术
- 分析与建模 - 实时分析
- 分析与建模 - 数据即服务
适用行业
- 汽车
适用功能
- 销售与市场营销
- 商业运营
用例
- 预测性维护
- 供应链可见性(SCV)
服务
- 数据科学服务
挑战
AAA National 希望更好地支持其会员俱乐部向现有会员销售更多产品、在各个地区寻找新会员,并确保实体办公地点根据俱乐部会员的人口统计和驾车时间处于最佳位置。收集和分析必要数据的过程既耗时又复杂,通常需要三天时间才能生成完整而准确的数据集以供分析。数据来自不同的系统,很难与第三方人口统计和人口普查数据匹配和融合。使用多种工具处理数据进一步复杂化了流程,并增加了出错的可能性。
关于客户
AAA 前身为美国汽车协会,是北美汽车俱乐部联合会。它是一个非营利性会员服务组织,在美国和加拿大拥有 5400 万会员。AAA 提供广泛的服务,包括其标志性服务——路边援助。AAA National 的总部位于佛罗里达州希思罗,其职责是支持而不是指导每个独立汽车俱乐部。该组织有两个主要领域需要进行复杂的分析:帮助俱乐部了解其业务,包括了解其会员的人口统计和购买历史以及分支机构的位置规划,以及 AAA 的基础——紧急路边服务。
解决方案
AAA National 采用了 Alteryx Analytics,这一单一工具将生成完整而准确的数据集以供分析的时间从三天缩短至仅需两分钟。Alteryx Analytics 允许 AAA 汇总正确的数据集,选择所需的精确字段,并对字段执行必要的操作。Alteryx 与 Experian 人口统计和美国人口普查数据的内置集成极大地增强了 AAA 的内部数据,为会员俱乐部提供了带有嵌入式地图的综合报告。这有助于俱乐部更好地了解其会员基础,改善组织紧急路边服务的人员配备和响应时间,并就在哪里开设或关闭实体店做出更明智的决定。
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.