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Authors: Bálint Molnár 1 ; Galena Pisoni 2 and Ádám Tarcsi 1

Affiliations: 1 Eötvös Loránd University, ELTE, IK Pázmány Péter 1/C, 1117, Budapest, Hungary ; 2 University of Nice Sophia Antipolis, Nice, France

ISBN: 978-989-758-447-3

Keyword(s): Data Warehouse, Data Lake, Enterprise Architecture, Data Science, Insurance.

Abstract: The proliferation of the big data movement has led to volumes of data. The data explosion has surpassed enterprises’ ability to consume the various data types that may exist. This paper discusses the opportunities and challenges associated with implementing data lakes, a potential strategy for leveraging data as a strategic asset for enterprise decision-making. The paper analyzes an information ecosystem of an Insurance Company environment. There are two types of data sources, information systems based on a transactional databases for recording claims, as the basis of financial administration and systems policies. There exists neither Data Warehouse solutions nor any other data collection solutions dedicated to utilizing by Data Science methods and tools. The emerging technologies provide opportunities for synergy between the traditional Data Warehouse and the most recent Data Lake approaches. Therefore, it seems feasible and reasonable to integrate these two architecture approaches t o support data analytics on several aspects of insurance, financial activities, risk analysis, prediction and forecasting. (More)

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Paper citation in several formats:
Molnár, B.; Pisoni, G. and Tarcsi, Á. (2020). Data Lakes for Insurance Industry: Exploring Challenges and Opportunities for Customer Behaviour Analytics, Risk Assessment, and Industry Adoption.In Proceedings of the 17th International Joint Conference on e-Business and Telecommunications - Volume 2: ICE-B, ISBN 978-989-758-447-3, pages 127-134. DOI: 10.5220/0009972301270134

@conference{ice-b20,
author={Bálint Molnár. and Galena Pisoni. and Ádám Tarcsi.},
title={Data Lakes for Insurance Industry: Exploring Challenges and Opportunities for Customer Behaviour Analytics, Risk Assessment, and Industry Adoption},
booktitle={Proceedings of the 17th International Joint Conference on e-Business and Telecommunications - Volume 2: ICE-B,},
year={2020},
pages={127-134},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009972301270134},
isbn={978-989-758-447-3},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on e-Business and Telecommunications - Volume 2: ICE-B,
TI - Data Lakes for Insurance Industry: Exploring Challenges and Opportunities for Customer Behaviour Analytics, Risk Assessment, and Industry Adoption
SN - 978-989-758-447-3
AU - Molnár, B.
AU - Pisoni, G.
AU - Tarcsi, Á.
PY - 2020
SP - 127
EP - 134
DO - 10.5220/0009972301270134

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