Big Data Analytics in Banking

This audiobook is narrated by a digital voice.


Big data analytics in banking refers to the use of vast amounts of structured and unstructured data to enhance decision-making, improve customer service, and optimize operations. With the rise of digital banking, financial institutions now have access to an unprecedented amount of data from customer transactions, online behavior, social media, and market trends. By analyzing this data, banks can gain valuable insights into customer preferences, risk profiles, and emerging market opportunities. This allows them to offer personalized financial products, predict customer needs, and identify potential fraud or credit risks more effectively.

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Big Data Analytics in Banking

This audiobook is narrated by a digital voice.


Big data analytics in banking refers to the use of vast amounts of structured and unstructured data to enhance decision-making, improve customer service, and optimize operations. With the rise of digital banking, financial institutions now have access to an unprecedented amount of data from customer transactions, online behavior, social media, and market trends. By analyzing this data, banks can gain valuable insights into customer preferences, risk profiles, and emerging market opportunities. This allows them to offer personalized financial products, predict customer needs, and identify potential fraud or credit risks more effectively.

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Big Data Analytics in Banking

Big Data Analytics in Banking

by Logan Tremblay

Narrated by Digital Voice Archie G

Unabridged — 7 hours, 2 minutes

Big Data Analytics in Banking

Big Data Analytics in Banking

by Logan Tremblay

Narrated by Digital Voice Archie G

Unabridged — 7 hours, 2 minutes

Audiobook (Digital)

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Overview

This audiobook is narrated by a digital voice.


Big data analytics in banking refers to the use of vast amounts of structured and unstructured data to enhance decision-making, improve customer service, and optimize operations. With the rise of digital banking, financial institutions now have access to an unprecedented amount of data from customer transactions, online behavior, social media, and market trends. By analyzing this data, banks can gain valuable insights into customer preferences, risk profiles, and emerging market opportunities. This allows them to offer personalized financial products, predict customer needs, and identify potential fraud or credit risks more effectively.


Product Details

BN ID: 2940194707669
Publisher: Logan Tremblay
Publication date: 12/22/2024
Edition description: Unabridged
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