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How Boeing Reduced Operational Deficiencies By Enhancing Data Visibility
技术
- 分析与建模 - 数据即服务
适用行业
- 航天
适用功能
- 离散制造
用例
- 工厂可见化与智能化
服务
- 数据科学服务
挑战
波音公司希望能够更好地提高效率并降低成本,同时不断提高客户的产出率。他们希望为制造车间提供一种解决方案,使每个人(从工程师到管理人员)都能识别和查明不合规情况,并鼓励针对这些领域采取纠正措施。波音公司面临着数据质量不一致的问题,员工很难实现可重复的输入流程。员工在识别问题时输入差异的方式存在偏差,导致可用数据稀缺。由于现有系统缺乏可视性,波音公司发现他们正在追逐下游不再存在的差异。
关于客户
波音公司是世界上最大的航空航天公司,也是商用喷气式客机和国防、太空及安全系统的领先制造商。波音公司拥有一支先进的研发团队,名为波音研究与技术部,由约 3,300 名工程师和支持人员组成,他们的任务是寻找满足其业务部门需求的解决方案,以提高绩效和效率,并提高整体业务成果。
解决方案
波音公司之所以收购 Dundas BI,主要是因为其高度可定制的界面和设计,使他们能够轻松地可视化成千上万个数据点。此外,波音公司还能够连接多个先前的系统。采用 Dundas BI 增强了波音公司进一步深入挖掘和过滤数据的能力,使其更加井然有序和清晰可见。借助使用拖放功能的简单、智能和直观的设计工具,波音公司获得了将 Dundas BI 集成并嵌入其现有业务系统的能力。完整的 API 支持、插件和应用内脚本允许更大的灵活性。
运营影响
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