下载PDF
Creval Sistemi e Servizi: Using process automation solutions from IBM to accelerate customer service improvements
技术
- 应用基础设施与中间件 - API 集成与管理
- 基础设施即服务 (IaaS) - 云计算
适用行业
- 金融与保险
适用功能
- 商业运营
- 销售与市场营销
用例
- 过程控制与优化
- 远程资产管理
- 需求计划与预测
服务
- 云规划/设计/实施服务
- 系统集成
挑战
Creval Sistemi e Servizi 是其母公司 Credito Valtellinese Group 银行的信息和通信技术服务提供商,该公司面临着适应商业世界快速变化的数字化转型的挑战。该公司的核心银行应用程序变更耗时且成本高昂,这减慢了其对不断变化的业务需求的响应速度。该公司试图将其速度较慢的核心银行应用程序与快速变化的速度和创新要求分离开来。作为这项计划的一部分,Creval Sistemi e Servizi 希望实现流程自动化,以加速和改善客户服务。它还试图让知识型员工能够自行创建流程,而无需 IT 部门的参与。
关于客户
Creval Sistemi e Servizi 是一家位于意大利松德里奥的信息和通信技术服务提供商。该公司为其母公司 Credito Valtellinese Group 的银行提供服务。该集团由几家专业公司和三家商业银行组成,通过 526 个分支机构的网络为意大利 20 个地区中的 11 个地区提供服务。与许多组织一样,Creval Sistemi e Servizi 正在应对商业世界中正在进行的数字化转型。该公司的主要挑战是适应这个快速变化的世界并成为变革的推动者。该公司的业务需求变化速度比以往任何时候都快,并且它依赖于一个耗时且成本高昂的核心银行应用程序。
解决方案
Creval Sistemi e Servizi 使用 IBM Integration Bus 软件创建了企业服务总线 (ESB),将前端系统与现有后端系统分离。这使该公司能够加快对不断变化的业务需求的响应速度。然后,该公司使用 IBM Business Process Manager 和 IBM Operational Decision Manager 软件来自动化其流程。该组织确定,一家典型的银行使用大约 2,000 个流程,而需要大量人工干预的流程可能会占用员工 60% 以上的时间。Business Process Manager 平台帮助 Creval Sistemi e Servizi 使其业务用户在设计和交付流程时尽可能自主。Business Process Manager 软件与 Operational Decision Manager 规则引擎集成。该组织还在探索使用云来加速支持其业务的简单项目。
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.”