Cloud-based ERP delivers visibility in a volatile market
公司规模
Large Corporate
地区
- America
国家
- Canada
产品
- SAP applications
- 11:11 Cloud Services
技术栈
- Cloud Computing
- ERP Systems
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Cost Savings
技术
- 基础设施即服务 (IaaS) - 云计算
- 功能应用 - 企业资源规划系统 (ERP)
适用行业
- 矿业
适用功能
- 离散制造
- 采购
用例
- 自动化制造系统
- 远程资产管理
服务
- 云规划/设计/实施服务
- 系统集成
关于客户
Procon is a North American mining contractor that provides a range of start-to-finish mining services throughout the world. The company is based in Burnaby, British Columbia and is recognized as a global industry leader due to its ability to finance, build, and operate the most complex open pit and underground mining operations. Procon's operations are spread across some of the most far-flung and inhospitable regions on the planet, making it a challenging task to manage and track their large fleet of equipment and workforce.
挑战
Procon, a North American mining contractor, was dealing with an aging ERP system that was no longer able to keep up with the demands of the business. The company had a large fleet of equipment to track and a workforce scattered across some of the most remote and inhospitable regions on the planet. With new ownership potentially pushing workload volumes and availability demands even higher, it was clear that it was time for a change. The company needed tighter cost control over projects and a more robust and reliable system to handle their operations.
解决方案
In response to the predicted upsurge in business, Procon decided to update to SAP and move to the cloud. They adopted 11:11 Cloud Services to upgrade and enhance their infrastructure. This solution provided Procon with a robust system that could handle their increasing workload volumes and availability demands. The cloud-based system allowed for automated time reporting and secure financial data flow straight from the field, providing Procon with greater insight into project costs. The automated processes led to more accurate data, reducing errors and the need for manual data handling.
运营影响
数量效益
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