Domo 助力 CAE USA 实现 Insight 腾飞
公司规模
Large Corporate
地区
- America
国家
- United States
产品
- Domo
技术栈
- Google Analytics
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Digital Expertise
技术
- 分析与建模 - 实时分析
适用行业
- Professional Service
- 航天
适用功能
- 销售与市场营销
- 商业运营
用例
- 预测性维护
- 实时定位系统 (RTLS)
服务
- 数据科学服务
- 系统集成
关于客户
CAE USA 是 CAE 国防和安全业务部门最大的部门，专注于管理公司与美国国防部及其盟军合作伙伴的所有合同。该公司不仅为世界上最复杂、高科技的飞机设计和制造飞行模拟器，还提供完整的课堂和飞行培训。该公司位于佛罗里达州坦帕，是世界上最大的航空培训公司。确保飞行员拥有安全飞行所需的技能和知识至关重要。该公司的收入为 24 亿美元，拥有 5,000 多名员工。
挑战
CAE USA 是 CAE 国防和安全业务部门最大的部门，大约七年前，该公司最初将 Domo 作为销售和营销工具实施。该公司为世界上最复杂、高科技的飞机设计和制造飞行模拟器，并提供完整的课堂和飞行培训。该公司开始使用 Domo 来管理其业务开发流程，以便销售和营销团队可以优化他们的工作。然后，财务部门开始使用它来处理预测、规划和报告。然后，工程师们也开始使用它。该公司拥有大约 300 名常规用户，其中 75 名被归类为高级用户。
解决方案
CAE USA 充分利用 Domo 在整个组织内开展各种计划，例如保护数据、管理培训、改善项目管理和跟踪事件。通过使用 Domo 创建定义的安全角色，CAE USA 可以控制用户访问权限，而元数据则可以轻松查看正在使用的数据以及可以丢弃的数据。CAE USA 还使用 Domo 的 CourseBuilder 培训应用程序来构建针对每个用户角色定制的培训材料。为了确保项目按计划进行，Luna 构建了仪表板，以跟踪团队和项目的工程冲刺。他使用 Domo 回顾多个团队和数百个项目的数年历史，为工程团队提供他们所需的视角，以确保项目按计划进行。同时，Stevenson 使用警报进行异常管理。
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Airbus Soars with Wearable Technology
Building an Airbus aircraft involves complex manufacturing processes consisting of thousands of moving parts. Speed and accuracy are critical to business and competitive advantage. Improvements in both would have high impact on Airbus’ bottom line. Airbus wanted to help operators reduce the complexity of assembling cabin seats and decrease the time required to complete this task.
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
Aerospace & Defense Case Study Airbus
For the development of its new wide-body aircraft, Airbus needed to ensure quality and consistency across all internal and external stakeholders. Airbus had many challenges including a very aggressive development schedule and the need to ramp up production quickly to satisfy their delivery commitments. The lack of communication extended design time and introduced errors that drove up costs.
Case Study
Accelerate Production for Spirit AeroSystems
The manufacture and assembly of massive fuselage assemblies and other large structures generates a river of data. In fact, the bill of materials for a single fuselage alone can be millions of rows of data. In-house production processes and testing, as well as other manufacturers and customers created data flows that overwhelmed previous processes and information systems. Spirit’s customer base had grown substantially since their 2005 divestiture from Boeing, resulting in a $41 billion backlog of orders to fill. To address this backlog, meet increased customer demands and minimize additional capital investment, the company needed a way to improve throughput in the existing operational footprint. Spirit had a requirement from customers to increase fuselage production by 30%. To accomplish this goal, Spirit needed real-time information on its value chain and workflow. However, the two terabytes of data being pulled from their SAP ECC was unmanageable and overloaded their business warehouse. It had become time-consuming and difficult to pull aggregate data, disaggregate it for the needed information and then reassemble to create a report. During the 6-8 hours it took to build a report, another work shift (they run three per day) would have already taken place, thus the report content was out-of-date before it was ever delivered. As a result, supervisors often had to rely on manual efforts to provide charts, reports and analysis.
Case Study
Developing Smart Tools for the Airbus Factory
Manufacturing and assembly of aircraft, which involves tens of thousands of steps that must be followed by the operators, and a single mistake in the process could cost hundreds of thousands of dollars to fix, makes the room for error very small.
