Santander UK started its big data journey in September 2014 with a PoC to test Hadoop and understand its potential and limits. Very quickly, it moved into a near-real-time customer-facing use case using Flume, Kafka, and HBase to serve customers with value from their data. In July 2015, the service was in production. Nine months later, Santander is in full implementation of the platform for data analysts and scientists, with the goal of providing guided self-service analytics to around 500 people by the end of 2016.
In parallel, Santander has developed a strategy to make the most of the technology for customer value but also for efficiencies and change in some of the old IT paradigms (NRT MI, for example). This is all possible because the technology is closing the gap with legacy frameworks in terms of governance, security, and usability.
Antonio Alvarez shares Santander’s Hadoop journey and presents some of the difficulties and challenges and their solutions, showing other late entrants what they can learn from this experience.
Antonio Alvarez is the head of data innovation at Isban UK, which aims to spearhead the transformation to a data-driven organization through digital technology. In partnership with the CDO, Antonio is creating a collaborative environment where innovative strategies and propositions around data from all sides of the business can create value for customers more quickly. With a quick pace of adoption, Santander UK is now implementing different frameworks for scaling and broadening the impact of data to disrupt the bank from inside through the adoption of a guided self-service approach. Antonio has a background in economics and 18 years of experience in financial services across four countries in business, technology, change, and data.
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