BancorpSouth：通过定制且响应迅速的供应商管理服务来争取数千家供应商
公司规模
1,000+
地区
- America
国家
- United States
产品
- Nvendor
- Nfindings
技术栈
- Vendor Management Software
- Findings Tracking Software
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
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
- 采购
用例
- 库存管理
- 供应链可见性(SCV)
服务
- 软件设计与工程服务
- 系统集成
关于客户
BancorpSouth 是一家快速发展的社区银行，位于密西西比州图珀洛。该银行拥有约 280 个分支机构，自 2016 年以来一直是 Ncontracts 的客户。BancorpSouth 的规模为 180 亿美元，其主要审查者是联邦存款保险公司 (FDIC)。2016 年之前，BancorpSouth 没有集中式供应商管理计划。相反，银行各地的个人关系所有者负责合同管理和尽职调查。
挑战
BancorpSouth 是一家快速发展的社区银行，拥有约 280 个分支机构，直到 2016 年才拥有集中式供应商管理计划。相反，银行各分支机构的个人关系所有者负责合同管理和尽职调查。该银行需要一种软件和服务解决方案来集中管理数千个供应商关系，并改善对监管机构和审计结果的跟踪。该银行还希望通过识别和防止自动续订并确保使用银行特定的供应商文档来节省时间和金钱。
解决方案
BancorpSouth 与 Ncontracts 合作，将供应商管理纳入一个整体。该银行采用了 Ncontracts 的 Nvendor，这是一款完整的供应商管理软件和服务解决方案。Nvendor 负责收集和分析财务文件、业务摘要、SOC 报告以及为银行准备的其他文档和报告。它还提供持续监控、通知、提醒和风险评估工具。BancorpSouth 还在 2016 年采用了 Nfindings，这是 Ncontracts 的一项解决方案，用于跟踪整个机构的调查结果，而不会让员工被过多的信息所淹没。
运营影响
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.”
