Leading Construction Equipment Manufacturer Improves Service Delivery and Revenue Using Data Virtualization
公司规模
1,000+
国家
- United States
产品
- Denodo Platform
技术栈
- Data Virtualization
- Telematics
- Predictive Analytics
- Big Data
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Productivity Improvements
- Revenue Growth
技术
- 分析与建模 - 大数据分析
- 分析与建模 - 数据即服务
- 分析与建模 - 预测分析
适用行业
- 建筑与基础设施
- 矿业
适用功能
- 物流运输
- 维护
用例
- 资产健康管理 (AHM)
- 车队管理
- 预测性维护
服务
- 数据科学服务
关于客户
The Company is the world’s largest construction equipment manufacturer. It engages in the manufacture of construction and mining equipment, diesel and natural gas engines, industrial gas turbines, and diesel-electric locomotives. The Company provides technology for construction, transportation, mining, energy, logistics, and electric power generation. It distributes its products and services through a dealer network consisting of 172 dealers that serve 190 countries. The Company has over 95,000 employees and recorded $38.5B revenue in 2016. The Company is known for its manufacturing prowess and high-quality equipment. It strives to stay ahead of the competition in the Internet of Things (IoT) era by providing the highest quality field maintenance and machinery servicing.
挑战
The Company, a leading construction equipment manufacturer, was facing challenges due to sluggish sales and competition from low-cost alternatives. The Company's customers were demanding high returns on their investments with minimum downtime and maintenance. To meet these demands, The Company needed to optimize asset performance and reduce machinery part breakdown in the field. The Company had invested in modern tools and technologies for telematics and predictive analytics, and in field sensors and big data technology. However, the field equipment data needed to be analyzed constantly in real time against the backdrop of service life records, warranty data, and other information. Traditional data integration methods were proving to be slow and expensive. The Company needed an agile data integration and access layer that could easily integrate big data with other sources of enterprise or cloud data in real time.
解决方案
The Company adopted the Denodo Platform for data virtualization. The data virtualization layer combines the streaming data with operational data to deliver meaningful information to business users through interactive dashboards and reporting tools that sit on top of the data access layer. In addition, while the purchasing department's historical spend data is built on top of the purchasing data marts, and updated on a monthly basis using ETL processes, the data virtualization layer combines real-time analytical data and buyer information, streamlining global purchase business partners' monthly spend and order information. The data virtualization layer is also the foundation for creating The Company's telematics data service, which can be sold to The Company's customers and distributors in a Data-as-a-Service (DaaS) model.
运营影响
数量效益
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