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LDB Group: Using leading-edge text analytics to reveal customer insights that generate real business benefits
技术
- 分析与建模 - 大数据分析
适用行业
- 汽车
- 消费品
适用功能
- 销售与市场营销
- 商业运营
服务
- 数据科学服务
挑战
LDB Group 专门帮助客户了解客户的需求和愿望。其主要服务之一是调查客户体验并确定需要改进的领域。当一位汽车行业的客户要求 LDB Group 研究客户满意度时，该公司看到了向更多客户提供类似服务的巨大潜力。然而，挑战在于扩展流程以更有效地处理信息。该公司意识到，如果将客户满意度调查作为一项新的分析服务推出，它可以为现有客户提供额外的价值，并提供更有价值的产品来吸引新业务。
关于客户
LDB 集团是一家专门帮助客户更好地了解客户需求和愿望的公司。该公司为各种规模和行业的企业提供服务，专注于调查客户体验并确定需要改进的领域。LDB 集团在全球各地拥有约 500 名员工。其主要服务之一是调查客户体验并确定需要改进的领域。该公司服务于包括汽车行业在内的广泛行业。
解决方案
LDB Group 决定部署 IBM® SPSS® Modeler Premium，这是一个功能强大的分析平台，具有最先进的文本挖掘功能。当汽车修理厂客户参与满意度调查时，结果会自动发送到 IBM 解决方案。然后，该软件会分析反馈，以了解客户对所获服务满意或不满意的原因。最重要的是，它使 LDB Group 能够找出任何改进机会。LDB Group 还使用 IBM SPSS Statistics 分析软件，通过执行聚类分析来更深入地探究调查反馈，以了解客户体验的不同部分如何相互关联。
运营影响
数量效益
相关案例.
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Case Study
Improving Vending Machine Profitability with the Internet of Things (IoT)
The vending industry is undergoing a sea change, taking advantage of new technologies to go beyond just delivering snacks to creating a new retail location. Intelligent vending machines can be found in many public locations as well as company facilities, selling different types of goods and services, including even computer accessories, gold bars, tickets, and office supplies. With increasing sophistication, they may also provide time- and location-based data pertaining to sales, inventory, and customer preferences. But at the end of the day, vending machine operators know greater profitability is driven by higher sales and lower operating costs.
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).
