下载PDF
The BPM-O story: creating opportunities for KPMG with IBM Business Process Manager
技术
- 应用基础设施与中间件 - API 集成与管理
- 应用基础设施与中间件 - 数据交换与集成
适用行业
- 金融与保险
适用功能
- 商业运营
- 质量保证
用例
- 过程控制与优化
- 监管合规监控
服务
- 系统集成
- 软件设计与工程服务
挑战
金融危机爆发后,英国银行业面临着监管变革的浪潮。银行突然发现自己处于这样一种境地:这些问题需要同时解决,而且必须在紧迫的期限内解决。客户赔付和监管罚款的潜在规模意味着这些问题是董事会层面的常规议程项目,因此风险很高。大多数银行对这种时间紧迫且不可预见的需求的直接反应是建立临时运营。这些运营由电子表格和小型数据库支持,并雇用了大量临时员工。然而,这种情况需要采取更具战略性的应对措施,以确保正确的客户结果、修复声誉并管理监管风险。
关于客户
KPMG LLP 是一家英国有限责任合伙企业,是 KPMG Europe LLP 的子公司,在英国设有 22 个办事处,拥有约 11,500 名合伙人和员工。截至 2013 年 9 月,这家英国公司的营业额为 18 亿英镑。KPMG 是一家全球性的专业公司网络,提供审计、税务和咨询服务。该公司在 155 个国家/地区开展业务,在全球各地的成员公司拥有 155,000 名专业人员。KPMG 决定为英国银行客户提供快速部署的端到端解决方案,以满足他们在金融危机后的监管需求。
解决方案
KPMG 选择了 IBM® Business Process Manager,并通过开发优化器应用程序对其进行了增强。这种组合式“BPM-O”解决方案可加快解决方案和变更的上市速度。K-CRC 业务模式将使 KPMG 提供完全不同的客户解决方案,即结合强大的企业级案例管理技术、KPMG 监管主题专家知识、用于托管解决方案的安全 KPMG 数据中心以及高效且有效的运营交付能力。KPMG 投资开发了优化器应用程序,以与标准 IBM Business Process Manager 应用程序协同工作。优化器称为“BPM-O”,它有效地使经过培训的业务分析师(而不是 BPM 配置程序员)能够构建或更改业务流程和相关规则集,而 IT 参与程度非常有限。
运营影响
数量效益
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.”