Data Alchemy in the Insurance Industry
portes grátis
Data Alchemy in the Insurance Industry
The Transformative Power of Big Data Analytics
Kumar, Pawan; Taneja, Sanjay; Kukreti, Mohit; OEzen, Ercan; Reepu
Emerald Publishing Limited
11/2024
248
Dura
9781836085836
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Chapter 1. Data Alchemy in Insurance: A Catalyst for Improving Financial Inclusion Levels and Insurance Penetration; Muskan Singh, Rajat Sharma, and Mukul Bhatnagar
Chapter 2. Unlocking the Power of Big Data in Insurance: The Role of Data Analytics; Divya Singh and Amit Gautam
Chapter 3. AI-Driven Personalized Risk Management in Insurance Sector; Anshul Agrawal, Tanya Kumar, Rachit Agarwal, and Ashish Gupta
Chapter 4. Ethical Considerations in Data Analytics: Challenges, Principles, and Best Practices; Kapil Sharma, Pawan Kumar, and Ercan OEzen
Chapter 5. Analyzing Two and a Half Decades of Health Insurance and Big Data Analytics Research: A Bibliometric Study; Vartika Bisht, Priya, Sanjay Taneja, and Amar Johri
Chapter 6. Worker's Compensation in the Remote Work Era: Proactive Risk Management through HR policies and Data Alchemy Practices; Mehul Miglani and Bhupinder Pal Singh Chahal
Chapter 7. The Philosopher's Stone: Applications of Data Alchemy- Customer Personalization, Profiling, and Retention; Kaushal Kishore Mishra, Pawan Pant, Harvinder Singh, and Sunil Kant Mishra
Chapter 8. Impact of Employee-Performance Data Management on Job Satisfaction in the Insurance Sector; Munish Gupta, Vikas Sharma, and Nasima Mohamed Hoosen Carrim
Chapter 9. Revolutionizing Insurance Practices through Advanced Data Alchemy; Sanjay Taneja, Vartika Bisht, and Mohit Kukreti
Chapter 10. The Future of Alchemy: Emerging Trends and Technologies Metaverse in Insurance - A Virtual Customer Experience; Azmee Zaheer, Animesh Singh, Kaushal Kishore Mishra, Reepu, and Luan Vardari
Chapter 11. Trends and Patterns in Insurance Research: A Bibliometric Analysis (2020-2024); Khem Chand, Ajay Chandel, Rajesh Tiwari, and Abshishek Singh Chauhan
Chapter 12. Transformative Data Practices in the Insurance Industry: Addressing Benefits, Challenges, Exploring Emerging Trends and Utilizing Advanced Technologies; Swati Gupta, Navpreet Kaur Sidhu, and Dixit Kalra
Chapter 13. Chatbots and Virtual Assistants in Insurance Decision Support; Sonal Purohit and Rakhi Arora
Chapter 14. Risk Assessment Models for Health Insurance Sector; Reepu, Pawan Kumar, and Mandeep Singh
Chapter 2. Unlocking the Power of Big Data in Insurance: The Role of Data Analytics; Divya Singh and Amit Gautam
Chapter 3. AI-Driven Personalized Risk Management in Insurance Sector; Anshul Agrawal, Tanya Kumar, Rachit Agarwal, and Ashish Gupta
Chapter 4. Ethical Considerations in Data Analytics: Challenges, Principles, and Best Practices; Kapil Sharma, Pawan Kumar, and Ercan OEzen
Chapter 5. Analyzing Two and a Half Decades of Health Insurance and Big Data Analytics Research: A Bibliometric Study; Vartika Bisht, Priya, Sanjay Taneja, and Amar Johri
Chapter 6. Worker's Compensation in the Remote Work Era: Proactive Risk Management through HR policies and Data Alchemy Practices; Mehul Miglani and Bhupinder Pal Singh Chahal
Chapter 7. The Philosopher's Stone: Applications of Data Alchemy- Customer Personalization, Profiling, and Retention; Kaushal Kishore Mishra, Pawan Pant, Harvinder Singh, and Sunil Kant Mishra
Chapter 8. Impact of Employee-Performance Data Management on Job Satisfaction in the Insurance Sector; Munish Gupta, Vikas Sharma, and Nasima Mohamed Hoosen Carrim
Chapter 9. Revolutionizing Insurance Practices through Advanced Data Alchemy; Sanjay Taneja, Vartika Bisht, and Mohit Kukreti
Chapter 10. The Future of Alchemy: Emerging Trends and Technologies Metaverse in Insurance - A Virtual Customer Experience; Azmee Zaheer, Animesh Singh, Kaushal Kishore Mishra, Reepu, and Luan Vardari
Chapter 11. Trends and Patterns in Insurance Research: A Bibliometric Analysis (2020-2024); Khem Chand, Ajay Chandel, Rajesh Tiwari, and Abshishek Singh Chauhan
Chapter 12. Transformative Data Practices in the Insurance Industry: Addressing Benefits, Challenges, Exploring Emerging Trends and Utilizing Advanced Technologies; Swati Gupta, Navpreet Kaur Sidhu, and Dixit Kalra
Chapter 13. Chatbots and Virtual Assistants in Insurance Decision Support; Sonal Purohit and Rakhi Arora
Chapter 14. Risk Assessment Models for Health Insurance Sector; Reepu, Pawan Kumar, and Mandeep Singh
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Insurance Analytics; Big Data Transformation; Predictive Underwriting Customer-Centric Insurance; Fraud Detection in Insurance; Data Analysis; Business Planning
Chapter 1. Data Alchemy in Insurance: A Catalyst for Improving Financial Inclusion Levels and Insurance Penetration; Muskan Singh, Rajat Sharma, and Mukul Bhatnagar
Chapter 2. Unlocking the Power of Big Data in Insurance: The Role of Data Analytics; Divya Singh and Amit Gautam
Chapter 3. AI-Driven Personalized Risk Management in Insurance Sector; Anshul Agrawal, Tanya Kumar, Rachit Agarwal, and Ashish Gupta
Chapter 4. Ethical Considerations in Data Analytics: Challenges, Principles, and Best Practices; Kapil Sharma, Pawan Kumar, and Ercan OEzen
Chapter 5. Analyzing Two and a Half Decades of Health Insurance and Big Data Analytics Research: A Bibliometric Study; Vartika Bisht, Priya, Sanjay Taneja, and Amar Johri
Chapter 6. Worker's Compensation in the Remote Work Era: Proactive Risk Management through HR policies and Data Alchemy Practices; Mehul Miglani and Bhupinder Pal Singh Chahal
Chapter 7. The Philosopher's Stone: Applications of Data Alchemy- Customer Personalization, Profiling, and Retention; Kaushal Kishore Mishra, Pawan Pant, Harvinder Singh, and Sunil Kant Mishra
Chapter 8. Impact of Employee-Performance Data Management on Job Satisfaction in the Insurance Sector; Munish Gupta, Vikas Sharma, and Nasima Mohamed Hoosen Carrim
Chapter 9. Revolutionizing Insurance Practices through Advanced Data Alchemy; Sanjay Taneja, Vartika Bisht, and Mohit Kukreti
Chapter 10. The Future of Alchemy: Emerging Trends and Technologies Metaverse in Insurance - A Virtual Customer Experience; Azmee Zaheer, Animesh Singh, Kaushal Kishore Mishra, Reepu, and Luan Vardari
Chapter 11. Trends and Patterns in Insurance Research: A Bibliometric Analysis (2020-2024); Khem Chand, Ajay Chandel, Rajesh Tiwari, and Abshishek Singh Chauhan
Chapter 12. Transformative Data Practices in the Insurance Industry: Addressing Benefits, Challenges, Exploring Emerging Trends and Utilizing Advanced Technologies; Swati Gupta, Navpreet Kaur Sidhu, and Dixit Kalra
Chapter 13. Chatbots and Virtual Assistants in Insurance Decision Support; Sonal Purohit and Rakhi Arora
Chapter 14. Risk Assessment Models for Health Insurance Sector; Reepu, Pawan Kumar, and Mandeep Singh
Chapter 2. Unlocking the Power of Big Data in Insurance: The Role of Data Analytics; Divya Singh and Amit Gautam
Chapter 3. AI-Driven Personalized Risk Management in Insurance Sector; Anshul Agrawal, Tanya Kumar, Rachit Agarwal, and Ashish Gupta
Chapter 4. Ethical Considerations in Data Analytics: Challenges, Principles, and Best Practices; Kapil Sharma, Pawan Kumar, and Ercan OEzen
Chapter 5. Analyzing Two and a Half Decades of Health Insurance and Big Data Analytics Research: A Bibliometric Study; Vartika Bisht, Priya, Sanjay Taneja, and Amar Johri
Chapter 6. Worker's Compensation in the Remote Work Era: Proactive Risk Management through HR policies and Data Alchemy Practices; Mehul Miglani and Bhupinder Pal Singh Chahal
Chapter 7. The Philosopher's Stone: Applications of Data Alchemy- Customer Personalization, Profiling, and Retention; Kaushal Kishore Mishra, Pawan Pant, Harvinder Singh, and Sunil Kant Mishra
Chapter 8. Impact of Employee-Performance Data Management on Job Satisfaction in the Insurance Sector; Munish Gupta, Vikas Sharma, and Nasima Mohamed Hoosen Carrim
Chapter 9. Revolutionizing Insurance Practices through Advanced Data Alchemy; Sanjay Taneja, Vartika Bisht, and Mohit Kukreti
Chapter 10. The Future of Alchemy: Emerging Trends and Technologies Metaverse in Insurance - A Virtual Customer Experience; Azmee Zaheer, Animesh Singh, Kaushal Kishore Mishra, Reepu, and Luan Vardari
Chapter 11. Trends and Patterns in Insurance Research: A Bibliometric Analysis (2020-2024); Khem Chand, Ajay Chandel, Rajesh Tiwari, and Abshishek Singh Chauhan
Chapter 12. Transformative Data Practices in the Insurance Industry: Addressing Benefits, Challenges, Exploring Emerging Trends and Utilizing Advanced Technologies; Swati Gupta, Navpreet Kaur Sidhu, and Dixit Kalra
Chapter 13. Chatbots and Virtual Assistants in Insurance Decision Support; Sonal Purohit and Rakhi Arora
Chapter 14. Risk Assessment Models for Health Insurance Sector; Reepu, Pawan Kumar, and Mandeep Singh
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
