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Matmut Derives Data Insights 3 Times Faster
技术
- 分析与建模 - 预测分析
- 平台即服务 (PaaS) - 数据管理平台
适用功能
- 商业运营
用例
- 预测性维护
- 需求计划与预测
服务
- 数据科学服务
挑战
Matmut 是法国保险市场的主要参与者,该公司高度依赖数据来提升公司几乎每个领域的业务。然而,该公司在严格的隐私法规限制内获取洞察方面面临挑战。Matmut 的数据实验室使用单个 Jupyter 笔记本构建预测模型,这个过程是手动的,需要大量编码。这种方法效率不高,而且无法促进数据科学家和企业之间的协作。该公司需要一个可以减少工作量并实现协作的单一解决方案。
关于客户
Matmut 集团是法国保险市场的主要参与者,拥有超过 390 万名投保人,管理着 740 万份保单。该集团提供全套人身和财产保险产品以及金融和储蓄服务。Matmut 集团目前拥有 6,300 名员工,2021 年的营业额超过 24 亿欧元。该公司高度依赖数据来提升公司几乎每个领域的水平,但在严格的隐私法规限制内获取洞察力方面面临挑战。
解决方案
Matmut 部署了 DataRobot AI Cloud,以实现端到端生命周期的自动化,从数据准备到建模再到监控。该平台提高了流程每个步骤的效率。在前端,Feature Discovery 根据数据集自动生成新特征,加快了数据准备速度。该平台还利用机器学习实现建模自动化,并进行部署和更新。与团队之前的手动方法相比,整个生命周期的总时间节省使生产力提高了三倍。Matmut 还利用 DataRobot University 提高用户对平台的熟练程度。平均而言,每个团队成员都参加了 10 门涵盖解决方案各个方面的课程。
运营影响
数量效益
相关案例.
Case Study
Remote Monitoring & Predictive Maintenance App for a Solar Energy System
The maintenance & tracking of various modules was an overhead for the customer due to the huge labor costs involved. Being an advanced solar solutions provider, they wanted to ensure early detection of issues and provide the best-in-class customer experience. Hence they wanted to automate the whole process.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Aircraft Predictive Maintenance and Workflow Optimization
First, aircraft manufacturer have trouble monitoring the health of aircraft systems with health prognostics and deliver predictive maintenance insights. Second, aircraft manufacturer wants a solution that can provide an in-context advisory and align job assignments to match technician experience and expertise.
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
Asset Management and Predictive Maintenance
The customer prides itself on excellent engineering and customer centric philosophy, allowing its customer’s minds to be at ease and not worry about machine failure. They can easily deliver the excellent maintenance services to their customers, but there are some processes that can be automated to deliver less downtime for the customer and more efficient maintenance schedules.