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