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Dataiku > 实例探究 > 使用 Dataiku 优化端到端人才生命周期:SLB 人员分析案例研究
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SLB People Analytics: Harnessing Dataiku for Optimized Talent Management

技术
  • 分析与建模 - 大数据分析
  • 分析与建模 - 机器学习
适用行业
  • 教育
  • 设备与机械
适用功能
  • 人力资源
用例
  • 库存管理
  • 时间敏感网络
服务
  • 数据科学服务
  • 培训
挑战
SLB 的人员分析团队意识到他们的许多流程不可扩展,导致时间损失和效率低下。他们还面临人才绩效支持、合规监控和利益相关者参与方面的挑战。
关于客户
SLB 是石油和天然气领域的行业领导者,业务遍及 120 个国家。他们拥有 82,000 多名员工和 90 多个技术中心。 SLB 专注于在新兴能源市场实现投资组合多元化并利用技术进步。
解决方案
该团队实施了集中式数据平台 Dataiku,以提高团队生产力、知识共享和项目透明度。他们以更透明的方式构建项目,实现有效的协作,提高数据素养和员工技能,并促进数据的重用。 Dataiku 还通过提供适合各种能力的材料、确保合规性和隐私法规以及实现团队之间的连通性和可见性来解决人才绩效支持方面的挑战。
运营影响
  • The implementation of Dataiku has brought about significant operational improvements at SLB. The platform has infused transparency and reuse into the company's processes, enabling rapid scalability. It has fostered a culture of collaboration and knowledge sharing among team members, leading to more efficient project completion. The platform's visual data pipelines have made it easier to identify areas for improvement, vet projects, and select the best model versions. Dataiku has also boosted data literacy among both technical and non-technical employees, fostering a culture of upskilling. The platform's clear reporting tools have ensured project compliance to privacy regulations and bias elimination, allowing talent teams to work more efficiently at scale. Furthermore, Dataiku has facilitated connectedness across multiple teams, driving efficiency in project decisions and providing visibility on support needs.
数量效益
  • $18-45 million retained from total unplanned employee attrition costs annually
  • Reduced the time invested in training by months and years
  • More than five projects deployed in a one-month pilot involving 10 team members

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