公司规模
Large Corporate
地区
- Europe
国家
- United Kingdom
- France
产品
- Oracle Fusion Human Capital Management
- Oracle E-Business Suite
技术栈
- Oracle Cloud
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Employee Satisfaction
技术
- 功能应用 - 企业资源规划系统 (ERP)
适用行业
- 金融与保险
适用功能
- 人力资源
服务
- 云规划/设计/实施服务
- 系统集成
关于客户
标准人寿是一家全球金融服务公司,提供一系列金融产品和服务,包括养老金、储蓄、保险和投资管理。该公司在全球各个市场开展业务,为数百万客户提供服务。标准人寿致力于帮助客户建立安全的财务未来,并不断寻找改善其服务和运营的方法。该公司关注的重点领域之一是人力资本管理,因为它认识到在其全球业务中识别、培养和留住人才的重要性。
挑战
全球金融服务公司 Standard Life 希望在其全球业务中发现、培养和留住人才。为了能够对员工绩效进行有意义的比较,其人力资本管理领导团队需要一个集成的人才管理和薪酬解决方案。该公司正在使用传统的人力资源解决方案,该解决方案在管理工资单等核心业务功能方面效率不高。该公司需要一种能够协调绩效、奖励和人才管理流程并提供整个公司员工队伍的综合视图的解决方案。
解决方案
标准人寿与 IBM 全球商业服务部合作部署了 Oracle Fusion 人力资本管理,其中包含绩效管理、目标管理、人才评估、薪酬管理和交易业务智能模块。该公司还从其传统的 HR 解决方案迁移到 Oracle E-Business Suite,以提高其管理薪资等核心业务功能的能力。在法国拉戈德的 IBM 创新中心进行了概念验证练习,以降低实施 Fusion HCM 期间的风险。IBM 和标准人寿团队为人力资源定义了一个通用的全球数据模型,规范了公司所有法人实体和运营单位的等级、评估结构和流程。
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Real-time In-vehicle Monitoring
The telematic solution provides this vital premium-adjusting information. The solution also helps detect and deter vehicle or trailer theft – as soon as a theft occurs, monitoring personnel can alert the appropriate authorities, providing an exact location.“With more and more insurance companies and major fleet operators interested in monitoring driver behaviour on the grounds of road safety, efficient logistics and costs, the market for this type of device and associated e-business services is growing rapidly within Italy and the rest of Europe,” says Franco.“The insurance companies are especially interested in the pay-per-use and pay-as-you-drive applications while other organisations employ the technology for road user charging.”“One million vehicles in Italy currently carry such devices and forecasts indicate that the European market will increase tenfold by 2014.However, for our technology to work effectively, we needed a highly reliable wireless data network to carry the information between the vehicles and monitoring stations.”
Case Study
Safety First with Folksam
The competitiveness of the car insurance market is driving UBI growth as a means for insurance companies to differentiate their customer propositions as well as improving operational efficiency. An insurance model - usage-based insurance ("UBI") - offers possibilities for insurers to do more efficient market segmentation and accurate risk assessment and pricing. Insurers require an IoT solution for the purpose of data collection and performance analysis
Case Study
Smooth Transition to Energy Savings
The building was equipped with four end-of-life Trane water cooled chillers, located in the basement. Johnson Controls installed four York water cooled centrifugal chillers with unit mounted variable speed drives and a total installed cooling capacity of 6,8 MW. Each chiller has a capacity of 1,6 MW (variable to 1.9MW depending upon condenser water temperatures). Johnson Controls needed to design the equipment in such way that it would fit the dimensional constraints of the existing plant area and plant access route but also the specific performance requirements of the client. Morgan Stanley required the chiller plant to match the building load profile, turn down to match the low load requirement when needed and provide an improvement in the Energy Efficiency Ratio across the entire operating range. Other requirements were a reduction in the chiller noise level to improve the working environment in the plant room and a wide operating envelope coupled with intelligent controls to allow possible variation in both flow rate and temperature. The latter was needed to leverage increased capacity from a reduced number of machines during the different installation phases and allow future enhancement to a variable primary flow system.
Case Study
Automated Pallet Labeling Solution for SPR Packaging
SPR Packaging, an American supplier of packaging solutions, was in search of an automated pallet labeling solution that could meet their immediate and future needs. They aimed to equip their lines with automatic printer applicators, but also required a solution that could interface with their accounting software. The challenge was to find a system that could read a 2D code on pallets at the stretch wrapper, track the pallet, and flag any pallets with unread barcodes for inspection. The pallets could be single or double stacked, and the system needed to be able to differentiate between the two. SPR Packaging sought a system integrator with extensive experience in advanced printing and tracking solutions to provide a complete traceability system.
Case Study
Transforming insurance pricing while improving driver safety
The Internet of Things (IoT) is revolutionizing the car insurance industry on a scale not seen since the introduction of the car itself. For decades, premiums have been calculated using proxy-based risk assessment models and historical data. Today, a growing number of innovative companies such as Quebec-based Industrielle Alliance are moving to usage-based insurance (UBI) models, driven by the advancement of telematics technologies and smart tracking devices.
Case Study
MasterCard Improves Customer Experience Through Self-Service Data Prep
Derek Madison, Leader of Business Financial Support at MasterCard, oversees the validation of transactions and cash between two systems, whether they’re MasterCard owned or not. He was charged with identifying new ways to increase efficiency and improve MasterCard processes. At the outset, the 13-person team had to manually reconcile system interfaces using reports that resided on the company’s mainframe. Their first order of business each day was to print 20-30 individual, multi-page reports. Using a ruler to keep their place within each report, they would then hand-key the relevant data, line by line, into Excel for validation. “We’re talking about a task that took 40-80 hours each week,” recalls Madison, “As a growing company with rapidly expanding product offerings, we had to find a better way to prepare this data for analysis.”