技术
- 应用基础设施与中间件 - 数据交换与集成
- 应用基础设施与中间件 - 中间件、SDK 和库
适用行业
- 金融与保险
适用功能
- 销售与市场营销
用例
- 租赁金融自动化
- 时间敏感网络
服务
- 系统集成
关于客户
Headspace 是一家公司,其使命是通过一个随时随地提供冥想益处的在线平台来改善世界的健康和幸福。该公司在 190 多个国家拥有数百万用户,他们使用他们的应用程序来访问引导冥想、动画、文章和视频。 Headspace 的销售团队使用 Salesforce 作为客户关系管理 (CRM) 平台,而财务团队则使用 NetSuite 作为企业资源规划 (ERP) 系统。公司总部位于美国科罗拉多州约翰斯敦。
挑战
Headspace 是一个快速发展的在线冥想平台,在管理其销售和财务数据方面面临着重大挑战。销售团队采用 Salesforce 作为客户关系管理 (CRM) 平台,而财务团队则使用 NetSuite 作为企业资源规划 (ERP) 系统。这导致销售和财务数据必须手动重新输入到两个单独的应用程序中,这是一个耗时的过程,容易出现人为错误,并导致计费和对账周期更长。销售财务经理 Nicole Punelli 认识到了这个问题,并了解财务团队没有能力处理 Salesforce 和 NetSuite 之间手动数据复制的增加。此外,Nicole 虽然是 Salesforce 方面的专家,但对 NetSuite 的使用经验很少,并且需要一个能够提供成功集成所需专业知识的供应商。
解决方案
Nicole 寻求一个能够快速实施、直观、易于使用并且能够同步 Salesforce 和 NetSuite 的常见集成流程(包括不太常用的 Salesforce Orders 集成)的平台。她在 Celigo iPaaS 集成平台中找到了解决方案。在看到该平台的演示后,妮可觉得它最适合她的需求。 Celigo 提供了 Salesforce 和 NetSuite 之间的预构建集成,支持 Salesforce 订单作为开箱即用的集成流程的一部分。此外,Celigo 还提供了必要的 NetSuite 专业知识,这对于成功实施至关重要。使用 Celigo Salesforce – NetSuite 集成应用程序后,完全消除了手动数据复制,提高了整体准确性并减少了计费时间。
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.”