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incorporating Big Data at

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Marks & Spencer moves data to the heart of decision making by building a core digital Big Data engineering team that uses Hadoop-powered ingestion to service analysts, deploys a devops team that runs what it builds to speed analytics while keeping SLAs, and fuses clickstream and transactional records to trace end-to-end journeys. Textual return reasons are linked to purchases to explain returns, and machine learning plus automated decision-making aim to deliver one-to-one personalization across store and online channels.

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