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Business intelligence for insurance companies

Author

Listed:
  • IGNATIUK A.

    (Taras Shevchenko National University of Kyiv)

Abstract

The current state and future trends for the world and domestic insurance markets are analyzed. The description of business intelligence methodology, tools and their practical implication for insurance companies are provided.

Suggested Citation

  • Ignatiuk A., 2016. "Business intelligence for insurance companies," Bulletin of Taras Shevchenko National University of Kyiv. Economics. Вісник Киiвського нацiонального унiверситету iм. Тараса Шевченка. Серiя: Економiка, CyberLeninka;Издательско-полиграфический центр «Киевский университет», issue 6 (183), pages 10-15.
    • Handle: RePEc:scn:013723:16864093
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    Citations

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    Cited by:

    1. Jacek Cypryjański & Aleksandra Grzesiuk, 2017. "The Analysis of Log-Ins to the E-Register Using Business Intelligence," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 46, pages 51-64.
    2. Braun, Alexander & Ben Ammar, Semir & Eling, Martin, 2019. "Asset pricing and extreme event risk: Common factors in ILS fund returns," Journal of Banking & Finance, Elsevier, vol. 102(C), pages 59-78.
    3. Dzuranin, Ann C. & Jones, Janet R. & Olvera, Renee M., 2018. "Infusing data analytics into the accounting curriculum: A framework and insights from faculty," Journal of Accounting Education, Elsevier, vol. 43(C), pages 24-39.
    4. Kumar, V. & Ramachandran, Divya, 2021. "Developing firms' growth approaches as a multidimensional decision to enhance key stakeholders' wellbeing," International Journal of Research in Marketing, Elsevier, vol. 38(2), pages 402-424.
    5. Mallapragada, Dharik S. & Papageorgiou, Dimitri J. & Venkatesh, Aranya & Lara, Cristiana L. & Grossmann, Ignacio E., 2018. "Impact of model resolution on scenario outcomes for electricity sector system expansion," Energy, Elsevier, vol. 163(C), pages 1231-1244.

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