通过简化租赁管理精简劳动密集型流程
公司规模
Large Corporate
地区
- America
国家
- Canada
产品
- IBM TRIRIGA
技术栈
- Workflow Automation
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Cost Savings
技术
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 金融与保险
适用功能
- 商业运营
用例
- 租赁金融自动化
服务
- 云规划/设计/实施服务
关于客户
多伦多道明银行 (TD) 总部位于加拿大多伦多，为约 2400 万客户提供全面的金融产品和服务。该公司在全球各地的办事处拥有超过 85,000 名员工。作为其房地产业务的一部分，TD 管理着数千处房产的租赁。其中很大一部分是“收入租赁”，即已转租给其他公司的房产。业务增长引发了 TD 管理的收入租赁数量的增加。TD 必须找到一种更有效的工作方式，否则将面临成本上涨。
挑战
多伦多道明银行 (TD) 管理着数千处房产的租赁，其中很大一部分是已转租给其他公司的“收入租赁”。随着银行的发展，TD 管理的收入租赁数量也随之增加。银行必须找到一种更有效的工作方式，否则将面临成本上升。银行决定使用 IBM® TRIRIGA® 来自动化其收入租赁的管理，这是一种旨在帮助公司简化租赁管理的解决方案。IBM 在其一个数据中心托管该解决方案，并支持测试、开发和生产环境。
解决方案
TD 决定使用 IBM® TRIRIGA® 实现收入租赁管理的自动化，该解决方案旨在帮助公司简化租赁管理。IBM 在其一个数据中心托管该解决方案，并支持测试、开发和生产环境。在 TRIRIGA 中，TD 为租赁管理涉及的每项任务建立了标准化、自动化的工作流程，确保始终第一次就遵循正确的流程。IBM 租赁管理解决方案简化了 TD 租赁和税务团队的业务流程。工作流程自动化消除了耗时的手动活动，并减少了对电子表格和其他手动跟踪工具的依赖。
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.”
