Opportunity Fund uses Google Cloud Platform and Barracuda CloudGen Firewall to Expand Microfinancing Services
公司规模
11-200
地区
- America
国家
- United States
产品
- Google Cloud Platform
- Barracuda CloudGen Firewall
- Google Compute Engine
- Google Cloud Storage
- CloudEndure
技术栈
- Google Cloud Platform
- Barracuda CloudGen Firewall
- Google Compute Engine
- Google Cloud Storage
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
技术
- 网络安全和隐私 - 网络安全
- 基础设施即服务 (IaaS) - 云计算
- 基础设施即服务 (IaaS) - 云存储服务
适用行业
- 金融与保险
适用功能
- 商业运营
- 质量保证
服务
- 云规划/设计/实施服务
- 网络安全服务
- 系统集成
关于客户
Opportunity Fund is a non-profit organization based in San Jose, California, founded in 1994. It provides microloans for small business owners and microsavings accounts to help students pay for college and families save for a rainy day. The organization aims to combat poverty by providing financial stability to economically distressed communities. Opportunity Fund has provided $230 million in loans to more than 6,800 entrepreneurs to help small businesses grow and started microsavings accounts for more than 6,200 families who have saved more than $20 million in deposits and earnings. The organization is dedicated to tackling economic inequality and helping people make permanent and lasting changes in their lives.
挑战
Opportunity Fund wanted to expand its services beyond California to the rest of the United States. However, its on-premises data center with aging servers and limited storage could not scale to support the expansion. The organization was also looking to cut infrastructure costs and reduce downtime. Rather than building a new data center, Opportunity Fund decided to move its infrastructure to the cloud. To help choose a provider, it performed a proof of concept and compared moving its infrastructure to the cloud using Google Cloud Platform (GCP) and multiple other cloud service providers. GCP outperformed its competitors by a wide margin, while also costing 20 percent to 30 percent less, making it an easy choice.
解决方案
Opportunity Fund chose to move its infrastructure to Google Cloud Platform (GCP) and implemented Barracuda CloudGen Firewall for added data protection. Using GCP, CloudEndure, and Barracuda CloudGen Firewall, Opportunity Fund migrated its servers, storage, and firewall to a test bed in the cloud within two weeks, followed by an additional week for the final 'lift-and-shift' operation. The organization runs its business using 20+ Google Compute Engine virtual machines, which power all its applications, including MS SQL database servers, accounting software, CRM software, and loan management software. Sensitive financial information is encrypted and stored in Google Cloud Storage. Barracuda CloudGen Firewall secures the data and ensures that sensitive financial communications with partners are kept private. Multiple site-to-site VPNs were set up to allow secure access to data stored in GCP from company offices and home offices.
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.”
