Big Data Analytics in Banking
Logan Tremblay
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.
Duration - 7h 1m.
Author - Logan Tremblay.
Narrator - Digital Voice Archie G.
Published Date - Sunday, 19 January 2025.
Copyright - © 2024 Logan Tremblay ©.
Location:
United States
Description:
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. Duration - 7h 1m. Author - Logan Tremblay. Narrator - Digital Voice Archie G. Published Date - Sunday, 19 January 2025. Copyright - © 2024 Logan Tremblay ©.
Language:
English
Opening Credit
Duration:00:00:09
Introduction: The Dawn of a New Era in Banking
Duration:00:08:25
Chapter 1: Understanding Big Data in Banking
Duration:00:12:03
Chapter 2: The Power of Data Analytics in Banking
Duration:00:13:51
Chapter 3: Big Data’s Role in Enhancing Customer Experience in Banking
Duration:00:12:04
Chapter 4: Big Data in Risk Management and Fraud Detection
Duration:00:12:46
Chapter 5: Enhancing Customer Personalization through Big Data
Duration:00:12:59
Chapter 6: Customer Segmentation and Targeted Marketing in the Age of Big Data
Duration:00:13:11
Chapter 7: Fraud Detection and Prevention in Banking with Big Data
Duration:00:13:23
Chapter 8: Optimizing Customer Service with Big Data in Banking
Duration:00:13:07
Chapter 9: Enhancing Fraud Detection and Security with Big Data in Banking
Duration:00:13:29
Chapter 10: Big Data’s Role in Personalizing Customer Experiences in Banking
Duration:00:12:39
Chapter 11: Big Data in Regulatory Compliance and Risk Management for Banks
Duration:00:13:27
Chapter 12: Enhancing Customer Experience with Big Data in Banking
Duration:00:12:01
Chapter 13: Enhancing Fraud Detection and Prevention with Big Data in Banking
Duration:00:12:09
Chapter 14: Blockchain Technology and Its Impact on Banking
Duration:00:15:51
Chapter 15: Artificial Intelligence (AI) in Banking
Duration:00:15:48
Chapter 16: Blockchain Technology in Banking
Duration:00:14:01
Chapter 17: Regulatory Challenges in the Age of Emerging Technologies
Duration:00:12:34
Chapter 18: The Role of Cybersecurity in Protecting Banks and Customers
Duration:00:12:12
Chapter 19: Cloud Computing and Its Impact on Banking
Duration:00:13:13
Chapter 20: Artificial Intelligence in Banking: Enhancing Decision-Making and Efficiency
Duration:00:14:23
Chapter 21: Data Governance and Ethics in AI-Driven Banking
Duration:00:13:07
Chapter 22: AI and Risk Management in Banking
Duration:00:12:40
Chapter 23: AI and Compliance Management in Banking
Duration:00:14:53
Chapter 24: AI in Credit Risk Management
Duration:00:15:49
Chapter 25: AI in Fraud Prevention
Duration:00:16:17
Chapter 26: AI in Customer Service: Enhancing Experiences and Operational Efficiency
Duration:00:14:57
Chapter 27: AI in Marketing and Personalization: Revolutionizing Customer Engagement in Banking
Duration:00:15:56
Chapter 28: AI in Fraud Prevention: Safeguarding Banks and Customers in the Digital Age
Duration:00:16:05
Chapter 29: AI in Risk Management: Navigating the Complexities of Banking in a Volatile World
Duration:00:14:43
Chapter 30: The Future of AI in Banking: Opportunities, Challenges, and Transformations
Duration:00:13:37
Closing Credit
Duration:00:00:09