Streaming analytics @ ING by David Vaquero at Big Data Spain 2017

At ING, we believe that staying ahead in life and business means changing how the bank interacts with their customers, no longer a traditional model of waiting for the customers to come to the bank through their website or apps, but to actively reach out to the customer with information that is relevant to him or her in order to make their financial life frictionless.

https://www.bigdataspain.org/2017/talk/streaming-analytics-ing

Big Data Spain 2017
November 16th-17th Kinépolis Madrid

Transcript

2. Streaming Analytics @ING BigDataSpain - Madrid David Vaquero. Lead Architect. ING. Nov. 17th 2017
3. 2 1 12 300 hour (far from Madrid) to reach Avila Euros to pay for a few delicious “tapas” m. away from a free of charge ATM
4. • Why? - Get to know our strategy and motivation • What? - Understand what to do to perform the goal • How? - Learn how we are doing Agenda Topics 3
5. Market leaders Benelux Growth markets Commercial Banking Challengers The world of ING- The best global bank in the world according to Global Finance magazine 4 Customers 37 Million Private, Corporate and Institutional Customers Countries more than 40 In Europe, Asia, Australia, North and South America Employees 52,000
6. 5 1. Earn the primary relationship 2. Develop analytics skills to understand our customers better 3. Increase the pace of innovation to serve changing customer needs 4. Think beyond traditional banking to develop new services and business models Empowering people to stay a step ahead in life and in business. Simplify & Streamline Operational Excellence Performance Culture Lending Capabilities Purpose Customer Promise Strategic Priorities Enablers Creating a differentiating customer experience Clear and Easy Anytime, Anywhere Empower Keep Getting Better
7. Sensor – Capture – Process – Context – Approach 6 Business logic Machine learning Process Decision
8. Cool!!! But… 7
9. As we started looking at patterns for streaming analytics, they always looked alike. Fraud and customer use cases are identical. 8 Producer Raw event What is it Relevant event What to do with it Outcome Producer Producer Producer CEP Filtering Enriching Rules Model scoring Artificial Intelligence Machine Learning Consumer Consumer Consumer
10. The result is an Event-Driven architecture, powered by Apache Kafka and Apache Flink at the heart of it with an addition of customer communication component. Delivered as one platform. 9
11. Covered Topics 1 0 Got to know our strategy and motivation Understood what to do to perform the goal Learnt how we are doing
12. David Vaquero Lead Architect ING david.vaquero.lopez@ing.com @davidvaquero https://www.linkedin.com/in/dvaquero/ Streaming Analytics @ING 1 1