Applying Sumo Logic to machine data ensures the highest service levels for the world’s biggest financial institutions
公司规模
1,000+
地区
- America
- Asia
- Europe
国家
- India
- United Kingdom
- United States
产品
- Sumo Logic
- ELK Stack
- Amazon Web Services (AWS)
技术栈
- Machine Data Analytics
- Cloud Computing
- Log Management
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
技术
- 分析与建模 - 实时分析
- 应用基础设施与中间件 - 数据交换与集成
- 基础设施即服务 (IaaS) - 云计算
适用行业
- 金融与保险
- Software
适用功能
- 商业运营
- 质量保证
用例
- 机器状态监测
服务
- 云规划/设计/实施服务
- 系统集成
- 培训
关于客户
Cardlytics is an advertising platform built within the banks’ digital channels. Through its partnership with financial institutions worldwide, the company has insight into purchase data from more than 100 million monthly active users, representing two in five card swipes, or roughly $2.3 trillion in annual spend. Each night the company ingests all of this raw data. This then serves as the source for deep analytics carried out by a team of 70 specialists to identify which consumers may be interested in receiving certain rewards based on their past spend. Once the detailed analysis is complete, Cardlytics uses this purchase intelligence to create offers and target marketing campaigns for a broad array of advertisers within the banks’ digital channels. These programs are more widely known as ‘Chase Offers’ or ‘BankAmeriDeals’ as two examples. Consumers activate the advertisers’ offers within their bank’s online banking site or mobile app. Later, when they shop at those merchants using their credit or debit card, they will see the reward credit on their next bank statement. Through this process, Cardlytics has saved consumers more than $245 million to date.
挑战
Maintaining separate, dedicated information processing environments for financial institutions is an exceptionally intricate endeavor that generates massive amounts of machine data. Cardlytics sought a comprehensive, technology-backed strategy to aggregate and manage this information across the entire organization. The new solution would need to enable users to correct defects without requesting extensive hand-holding; it would also need to satisfy stringent support and service level obligations for the company’s most important clients.
解决方案
Cardlytics replaced an internally maintained open source Elasticsearch, Logstash, and Kibana (ELK) stack with cloud-native machine data analytics platform Sumo Logic. The company immediately began ingesting machine data for billions of API transactions per day. With the upgraded application in place, Cardlytics then granted access to Sumo Logic to multiple teams within the organization. From the start, the company defined two primary use cases for Sumo Logic: dashboard visualization and alerting. Cardlytics created individual dashboards for each financial institution. These dashboards monitor client-specific key metrics, such as load per Web server, response times for Web servers, error rates, response times that exceed certain thresholds, and SLA compliance. To power its extensive alerting needs, Cardlytics configured several Sumo Logic alerts that run against log files. These alerts create notifications if there’s a deviation from normal response times and traffic patterns. Should a priority 1 support incident arise, Sumo Logic features prominently in the company’s ‘war room’ and is one of the key resources that the team consults when trying to address the issue. In many cases, Cardlytics has been able to leverage Sumo Logic to find and fix flaws before customers even notice that something has gone awry.
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.”
