利用机器学习的力量扩大小型数据团队的规模
公司规模
SME
地区
- America
- Asia
- Europe
国家
- Austria
- Canada
- Germany
- Japan
- Switzerland
产品
- Dataiku Data Science Studio (DSS)
- Amazon Web Services (AWS)
技术栈
- Machine Learning
- Predictive Analytics
- Natural Language Processing
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
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
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。
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。
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
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