Matmut 以 3 倍速度获取数据洞察
公司规模
1,000+
地区
- Europe
国家
- France
产品
- DataRobot AI Cloud
- MLOps
- AutoML
技术栈
- Jupyter notebook
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Productivity Improvements
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
- 需求计划与预测
- 预测性维护
服务
- 数据科学服务
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。
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。
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
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