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Microsoft Azure (Microsoft) > 实例探究 > RHI Magnesita: How a Synapse Analytics Data Platform is Transforming the Refractory Industry

RHI Magnesita: How a Synapse Analytics Data Platform is Transforming the Refractory Industry

Microsoft Azure (Microsoft) Logo
公司规模
Large Corporate
地区
  • Europe
国家
  • Austria
产品
  • Azure Synapse Analytics
  • Azure Data Factory
  • Azure Data Lake
  • Power BI
  • Dynamics 365
技术栈
  • Azure Cloud Services
  • SQL Server
  • IoT
  • Predictive Analytics
实施规模
  • Enterprise-wide Deployment
影响指标
  • Productivity Improvements
  • Digital Expertise
  • Revenue Growth
技术
  • 分析与建模 - 预测分析
  • 平台即服务 (PaaS) - 数据管理平台
  • 基础设施即服务 (IaaS) - 云数据库
适用功能
  • 流程制造
  • 商业运营
用例
  • 预测性维护
  • 过程控制与优化
  • 远程资产管理
服务
  • 云规划/设计/实施服务
  • 系统集成
  • 培训
关于客户
RHI Magnesita is a global leader in the refractory industry, providing essential materials for manufacturing everyday products like glass and steel. With over 100 years of experience, the company has established itself as a key player in the industry, offering a full range of services from raw material extraction to recycling. RHI Magnesita operates in more than 100 locations worldwide and employs over 14,000 people. The company is committed to innovation and digital transformation, aiming to enhance its service offerings through technology and data-driven solutions. By leveraging advanced analytics and cloud-based platforms, RHI Magnesita seeks to improve efficiency, integrate supply chains, and provide new digital services to its industrial customers.
挑战
RHI Magnesita, a world leader in refractories, faced the challenge of expanding their digital services to customers. They aimed to offer not just managed installation of refractory products but also continuous monitoring and predictive analytics to enhance efficiency and avoid unnecessary production shutdowns. This required a significant digital transformation and rebuilding of their IT infrastructure on Azure. The merger of RHI and Magnesita in 2017 added complexity to their data management, necessitating a more flexible and scalable data infrastructure. The company needed to consolidate disparate IT systems and manage increased data demands post-merger, which their existing on-premises solutions could no longer handle effectively.
解决方案
RHI Magnesita partnered with oh22 to migrate their IT infrastructure to Azure, creating a modern data warehouse that supports their new digital business model. This transformation involved leveraging Azure Synapse Analytics to build a centralized analytics platform, enabling the company to offer new data-driven services. The platform allows for flexible data management, cost control, and scalability, supporting the development of industrial software solutions. Azure Data Factory and Azure Data Lake were integrated to store data cost-effectively and democratize access to analytics tools like Power BI. The migration to Azure provided a foundation for RHI Magnesita to develop predictive analytics and IoT solutions, enhancing their service offerings and creating new revenue streams. The company invested in training and education to reskill their team, ensuring successful adoption of the new technology.
运营影响
  • The new analytics platform enables RHI Magnesita to offer innovative digital services that were previously impossible.
  • The migration to Azure has allowed for a more integrated supply chain, improving efficiency on both sides.
  • The company can now quickly react to market demand and take advantage of business opportunities.
  • RHI Magnesita has created a foundation for developing industrial software solutions and enhancing existing digital applications.
  • The digital transformation has shifted the company's focus from traditional IT projects to a more venture-oriented approach, requiring new skills and mindsets.
数量效益
  • Projects can be implemented up to 10x faster with Azure Data Factory and Azure Synapse.
  • The old SAP costing run time reduced from 12 hours to 5 minutes with Azure Synapse.
  • RHI Magnesita aims to generate €100 million from digital products by 2025.

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