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- Multi-Brand Retail Bank Case Study
A leading UK retail bank with over 14 million customers needed to improve real-time visibility across its digital ecosystem to reduce operational costs and deliver a more reliable customer experience GlobalLogic designed and implemented an AIOps platform that delivers real-time insights, automates incident response, and drives strategic cost savings across all brands and devices
- GlobalLogic Uses AIOps to Boost Customer Experience for a Large UK Bank
The Challenge With over 14 million active customers, the UK retail bank faced significant challenges in managing the vast volumes of data generated by its operations The existing operational tools were inadequate to handle the surge in real-time events and transactions, leading to a lack of business and operational insight
- Operational Intelligence Turns Into Business Value for a Multi-Brand . . .
Case Studies Operational Intelligence Turns Into Business Value for a Multi-Brand Retail Bank Improving reliability and reducing cost with AIOps-powered observability A top UK retail bank with over 14 million customers needed to reduce operational costs and improve service reliability across its digital brands
- GlobalLogic Leverages Big Data AIOps to Protect a Leading UK Retail . . .
The customer in this case study is a leading UK retail bank with over 14 million active customers and multiple brands under its umbrella As a large corporate entity, the bank operates in the finance and insurance industry, providing a wide range of financial services to its customers The bank has been facing increasing challenges related to fraud, especially with the rise of online banking
- Leading UK Retail Bank Case Study - globallogic. com
A leading UK retail bank needed a real-time fraud detection solution to combat rising threats from increasingly sophisticated cybercriminals GlobalLogic designed and implemented an AI-driven fraud prevention system, leveraging machine learning, AIOps, and big data analytics to detect anomalies, automate threat detection, and protect customer
- Identifying UK Banks’ Most Valuable Customers - Bain Company
For UK-based banks, earning primary banking relationships, meaning that customers identify a given bank as their main bank, has become increasingly important These customers hold the key to unlocking earned growth, or revenue growth generated by returning customers and their referrals Data from Bain’s NPS Prism ® benchmarking platform shows that across traditional banks and digital
- How big data and AIOps protected a leading UK retail bank against . . .
The Challenge With 14 million+ active customers and multiple brands, the risk of fraud activity had greatly increased and recently, due to geo-political tensions, the bank wanted the ability to monitor unusual behaviour and fraudulent activity mainly from Non-UK Countries In particular, this bank needed to gain insights into payments-related fraudulent activity, including payments going to a
- Real-Time Fraud Prevention with Machine Learning AIOps
Discover how GlobalLogic helped a leading UK retail bank detect and prevent fraud in real time by leveraging machine learning, AIOps, and big data analytics to enhance security, reduce fraud, and improve transaction monitoring
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