Global Medical Devices Manufacturer Drives Efficiency with Qlik & Cloudera
公司规模
1,000+
国家
- Worldwide
产品
- Qlik
- Cloudera
技术栈
- Data Lake
- Real-time Data Tracking
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 分析与建模 - 实时分析
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 消费品
- 医疗保健和医院
适用功能
- 离散制造
- 质量保证
用例
- 自动化制造系统
- 预测性维护
服务
- 数据科学服务
关于客户
The customer is a leading global medical devices, pharmaceutical and consumer packaged goods manufacturing company. They are involved in the production of a wide range of products and have a significant presence in the global market. The company is known for its commitment to innovation and quality, and it continually seeks ways to improve its operations and drive efficiency. The company has a vast manufacturing network and deals with a large amount of data from various sources, including machine sensors. The company's goal is to leverage this data to drive efficiency gains and cost savings.
挑战
The global medical devices, pharmaceutical and consumer packaged goods manufacturing company was previously collecting data off-hours and storing it in highly structured data warehouses. The reporting was generally at aggregate levels and done in silos. The structured reports were designed to show what happened by plant, by product, over time. This approach was not efficient and did not provide real-time insights into the manufacturing process.
解决方案
The company implemented Qlik and Cloudera to drive efficiency in their operations. They started collecting all data relevant to the use cases from a variety of on-premise and off-premise sources. Critical data is stored in the data lake, while non-critical data is moved directly to Qlik. The quality output is tracked in real-time as products move through the manufacturing process. The data is consumed through self-service exploration and displayed on monitors throughout the factory with standardized reports where needed. This approach allows the company to have real-time insights into their manufacturing process and make informed decisions.
运营影响
数量效益
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