Big data – unstructured and/or structured data being used to influence underwriting, rating, pricing, forms, marketing and claims handling and incentivize risk reduction – is a relatively recent development in the insurance industry, the data sets previously being too impossibly great to analyse through traditional methods. However, with the global capacity to collect and store data growing alongside advancements in AI and machine learning technology, insurers need to seriously evaluate their technology stacks to ensure they can remain competitive and respond to growing customer demand.

Striking a balance between the technical characteristics of the subject and the practical aspects of decision making, spanning from fraud analytics in claims management, to customer analytics, to risk analytics in solvency, the comprehensive coverage presented makes Big Data an invaluable resource for any insurance professional.

Providing high quality academic research, Emerald Studies in Finance, Insurance, and Risk Management provides a platform for authors to explore, analyse and discuss current and new financial models and theories, and engage with innovative research on an international scale. Subjects of interest may include banking, accounting, auditing, compliance, sustainability, behaviour, management, and business economics.

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Yes, you can access Big Data by Kiran Sood, Rajesh Kumar Dhanaraj, Balamurugan Balusamy, Simon Grima, R. Uma Maheshwari, Kiran Sood,Rajesh Kumar Dhanaraj,Balamurugan Balusamy,Simon Grima,R. Uma Maheshwari,Balamurugan Baluswamy in PDF and/or ePUB format, as well as other popular books in Business & Decision Making. We have over one million books available in our catalogue for you to explore.

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Emerald Publishing Limited

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Index

Cover
Title
Chapter 1. Use of Wearable and Health Applications in Insurance Industry Using Internet of Things and Big Data
Chapter 2. Emerging Technologies of Big Data in the Insurance Market
Chapter 3. Adoption of Internet of Things and Services in the Indian Insurance Industry
Chapter 4. Emerging Technologies in Insurance Sector: Evidence from Scientific Literature
Chapter 5. Predictive Performance of Indian Insurance Industry Using Artificial Neural Network (ANN) and Support Vector Machine (SVM): A Comparative Study
Chapter 6. Blockchain Technology as an Emerging Technology in the Insurance Market
Chapter 7. Crowdsourcing, Insurance and Analytics: The Trio of Insurance Future
Chapter 8. Big Data in Insurance Innovation
Chapter 9. Big Data Analytics Application and Enhanced FDI Prospects for the Insurance Sector
Chapter 10. The Use of Big Data in the Insurance Industry Innovations in China
Chapter 11. New Developments in Banking Sector and Impact: Covid-19
Chapter 12. Foreign Direct Investment Impact and Effect on the Indian Insurance Sector: Major Key Drivers
Chapter 13. Big Data Analytics – Tools and Techniques – Application in the Insurance Sector
Chapter 14. Revamping Indian Non-Life Insurance Industry with a Trusted Network: Blockchain Technology*
Chapter 15. Digital Financial Inclusion
Chapter 16. Perceived Effectiveness of Digital Transformation and InsurTech Use in Malta: A Study in the Context of the European Union’s Green Deal*
Chapter 17. The General Data Protection Regulation (GDPR) for Risk Mitigation in the Insurance Industry*
Chapter 18. Cybersecurity Law-based Insurance Market
Index

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