Data Science at ING
summary
ING uses a Hadoop-based data lake plus Spark and ETL pipelines to combine decades of systems‑of‑record with real‑time transaction streams, creating a single version of truth. A mobile forecasting feature predicts next‑month balances and attracts almost 2 million users in the Netherlands. The platform surfaces actionable insights (eg. prompt to move savings to cover an upcoming mortgage payment) and the bank also ships an aggregator app called Jolt rolled out in the UK under open banking.
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chapters (9)
- 0:00Introduction and ING overview
- 3:39Evolution of banking and strategy
- 6:27Digital transformation and customer focus
- 8:11Use case: Transaction forecasting
- 9:55Use case: Actionable financial insights
- 11:20Use case: Open banking app Jolt
- 12:23Big data architecture at ING
- 14:10Building the data lake
- 29:00Q&A and closing
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