公司规模
Large Corporate
地区
- Europe
国家
- Germany
产品
- QlikView
技术栈
- QlikView Server
- QlikView Publisher
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Cost Savings
技术
- 分析与建模 - 实时分析
适用功能
- 销售与市场营销
- 商业运营
用例
- 供应链可见性(SCV)
- 预测性维护
服务
- 数据科学服务
关于客户
Nolte-Möbel GmbH & Co. KG, founded in 1955 in Germersheim, is one of the largest manufacturers of cabinets and bedroom furniture in Germany. The company produces approximately 300 tons of individually configured furniture per day. Nolte does not warehouse complete cabinet lines or finished parts and manufactures customer orders individually right before they go on the truck. All of the processes within the company must be optimally coordinated. To deal with these logistical challenges, a great deal of data must be quickly and reliably analyzed.
挑战
Nolte-Möbel, one of the largest manufacturers of cabinets and bedroom furniture in Germany, faced the challenge of coordinating company processes for just-in-time production. The company needed to achieve greater transparency for all employees and quickly and easily implement modified parameters. They had mountains of statistics compiled in endless paper lists, but usually, only one page of each list was actually important. To stem this flood of information and provide greater transparency for users, a suitable analytical tool was sought. One of the main requirements was to be able to quickly and easily implement modified parameters since customers (furniture stores) frequently change their affiliation throughout the year. A traditional OLAP solution would require the continuous creation of new cubes, which not only takes time, but important data can also be lost.
解决方案
Nolte-Möbel deployed QlikView to more than 200 users in a short period of time. With QlikView, Nolte-Möbel is now able to analyze company-wide data such as executive cockpits, sales orders, production management, capacity utilization, machine downtime and logistics. With QlikView Server (64-bit) and Publisher, Nolte-Möbel easily aggregates volumes of data from a wide range of internal production systems. The access to data is tailored to each user through security settings. All of the applications are created centrally at Nolte-Möbel and offered to users through a portal. The information is updated according to a specific plan and stored in a portal. To analyze machine availability, current capacity utilization or downtime including causes can be uploaded.
运营影响
数量效益
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