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DC Field | Value | Language |
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dc.contributor.author | Pareek, Teena | - |
dc.contributor.author | Sood, Kiran | - |
dc.contributor.author | Grima, Simon | - |
dc.date.accessioned | 2024-04-08T14:49:47Z | - |
dc.date.available | 2024-04-08T14:49:47Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Pareek, T., Sood, K., & Grima, S. (2022). The impact of big data technology on the advancement of the insurance industry. In K. Sood, B. Balusamy, S. Grima, P. Marano (Eds.), Big data analytics in the insurance market (pp. 221-239). United Kingdom: Emerald Publishing Limited. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/120537 | - |
dc.description.abstract | Introduction: New ideas and concepts of big data have emerged in recent years in response to the astounding growth of data in many industries. Furthermore, the phenomenal increase in the use of the internet and social media has added enormous amounts of data to conventional data processing systems. Still, it has also created challenges for traditional data processing. | en_GB |
dc.description.abstract | Purpose: A significant characteristic of the insurance sector is critically dependent on information. This sector generates a great deal of structured and unstructured data, which traditional data processing techniques cannot handle. As compared to conventional insurance data processing and decision-making requirements, this lesson shows an analysis of data technology’s value additions. | en_GB |
dc.description.abstract | Research methodology: The author assesses the primary use of cases for data in the insurance industry via a case study analysis. From the perspective of the insurance sector, this chapter examines the concepts, technologies, and tools of big data. A few analytical reviews by the insurance company are also provided, which justified several gains gained either through inefficient processing of massive, diverse data sets or by supporting better decisions. | en_GB |
dc.description.abstract | Findings: This chapter demonstrates the importance of adopting new business models that allow insurers to move beyond understand and protect and become more predictive and preventative by using the tools and technologies of big data technology. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Emerald Publishing Limited | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Insurance -- Data processing | en_GB |
dc.subject | Insurance companies -- Data processing | en_GB |
dc.subject | Big data | en_GB |
dc.subject | Business intelligence | en_GB |
dc.title | The impact of big data technology on the advancement of the insurance industry | en_GB |
dc.title.alternative | Big data analytics in the insurance market | en_GB |
dc.type | bookPart | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1108/978-1-80262-637-720221012 | - |
Appears in Collections: | Scholarly Works - FacEMAIns |
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The_Impact_of_Big_Data_Technology_on_the_Advancement_of_the_Insurance_Industry.pdf Restricted Access | 360.29 kB | Adobe PDF | View/Open Request a copy |
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