Big data : a game changer for insurance industry

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 thr...

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Other Authors: Sood, Kiran, (Editor), Dhanaraj, Rajesh Kumar, (Editor), Balusamy, Balamurugan, (Editor), Grima, Simon, (Editor), Maheshwari, R. Uma, (Editor)
Format: eBook
Language: English
Published: United Kingdom : Emerald Publishing, 2022.
Edition: First edition.
Series: Emerald studies in finance, insurance, and risk management ; v. 6.
Subjects:
big data
pojišťovnictví
zpracování dat
pojišťovny
insurance
data processing
insurance companies
elektronické knihy
kolektivní monografie
electronic books
collective monographs
ISBN: 9781802626056
9781802626063
Physical Description: 1 online zdroj

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245 0 0 |a Big data :  |b a game changer for insurance industry /  |c edited by Kiran Sood, Rajesh Dhanaraj, Balamurugan Balusamy, Simon Grima, R. Uma Maheshwari. 
250 |a First edition. 
264 1 |a United Kingdom :  |b Emerald Publishing,  |c 2022. 
300 |a 1 online zdroj 
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490 1 |a Emerald studies in finance, insurance, and risk management ;  |v volume 6 
504 |a Obsahuje bibliografické odkazy a index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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.--Resumé vydavatel 
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650 0 7 |a pojišťovny  |7 ph124215  |2 czenas 
650 0 9 |a big data  |2 eczenas 
650 0 9 |a insurance  |2 eczenas 
650 0 9 |a data processing  |2 eczenas 
650 0 9 |a insurance companies  |2 eczenas 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 7 |a kolektivní monografie  |7 fd501537  |2 czenas 
655 9 |a electronic books  |2 eczenas 
655 9 |a collective monographs  |2 eczenas 
700 1 |a Sood, Kiran,  |e editor. 
700 1 |a Dhanaraj, Rajesh Kumar,  |e editor. 
700 1 |a Balusamy, Balamurugan,  |e editor. 
700 1 |a Grima, Simon,  |e editor. 
700 1 |a Maheshwari, R. Uma,  |e editor. 
776 0 8 |i Print version:  |t Big data.  |d United Kingdom : Emerald Publishing, 2022  |z 9781802626063  |w (OCoLC)1328023000 
830 0 |a Emerald studies in finance, insurance, and risk management ;  |v v. 6. 
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