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Scaling a Small Data Team with the Power of Machine Learning
技术
- 分析与建模 - 机器学习
- 分析与建模 - 预测分析
- 分析与建模 - 自然语言处理 (NLP)
适用功能
- 销售与市场营销
用例
- 预测性维护
服务
- 数据科学服务
挑战
DAZN 是一家订阅体育流媒体服务公司，该公司希望在现有市场和新市场中拓展业务。他们希望让小型数据团队能够大规模运行预测分析和机器学习项目。他们还希望找到一种方法，让不一定具备技术或机器学习经验的数据分析师能够以有意义的方式为有影响力的数据项目做出贡献。目标是以高级分析和机器学习为业务核心，支持底层数据文化。
关于客户
DAZN 是 Perform Group 旗下的一项订阅服务，致力于提供全球体育赛事的直播和点播。它每年通过各种设备为奥地利、德国、日本、瑞士和加拿大的客户提供 8,000 多场体育赛事的观看权限，并且即将进军更多市场。为了继续在现有市场和新市场发展业务，DAZN 希望通过一种快速、低维护的方式，使其小型数据团队能够大规模运行预测分析和机器学习项目。
解决方案
DAZN 选择了 Amazon Web Services (AWS) 和 Dataiku Data Science Studio (DSS)，因为它们在设置、连接、集成和可用性方面都很简单。他们能够在一小时内启动并运行。借助 AWS 和 Dataiku，小型数据团队可以同时构建和管理 30 多个模型，而且无需进行任何编码，因此非技术团队成员完全可以访问这些流程。他们使用这些模型作为业务各个领域各种关键流程的基础，包括内容归因、高级客户细分、倾向建模、生存分析以及用于市场研究的社交网络上的自然语言处理。
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.
