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What is Big Data Analytics in Banking Sector about?

Banks generate huge amounts of data from customer transactions that was previously unused. Now, banks are using big data analytics to better understand customer needs and provide personalized services. This paper discusses how banks can analyze customer spending patterns, sentiment, and feedback using big data technologies like Hadoop, MapReduce, and clustering algorithms. Examples of using big data in banking include identifying transaction channels, customer segmentation, product cross-selling, and fraud

Author

sachin

Language

EN