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The customer digital twin is a dynamic virtual representation of a real user, built from behavioural data, preferences, and interactions and updated in real time. Unlike a static CRM profile, it anticipates needs, personalises experiences at scale, and supports proactive decisions about each customer relationship.
Spark DataFrames are distributed, schema-based tables that the Catalyst engine optimises automatically, while pipelines chain those transformations into a reproducible end-to-end flow. Together they let you process large data volumes efficiently across a cluster, scaling from a laptop to hundreds of nodes without rewriting code.
The financial sector is undergoing a deep transformation: blockchain, artificial intelligence, mobile payments, open banking, and big data are redefining who provides financial services and how. The World Bank estimates 76% of adults worldwide now hold a bank or mobile-money account, up from 51% in 2011, and these five technologies explain much of that progress.
