Predictive analytics for marketing purposes business case: credit cognitive monitoring platform
Fida, Flavia (A.A. 2020/2021) Predictive analytics for marketing purposes business case: credit cognitive monitoring platform. Tesi di Laurea in Machine learning & object driven marketing, Luiss Guido Carli, relatore Luigi Laura, pp. 103. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Covid-19: effect on the Italian economy. History and definition of non-performing exposures. New definition of “default”. Calendar provisioning. The effect of debt moratorium and public loan guarantees on NPL. Covid-19: the numbers of the Italian NPE market. Impact of NPLs on banks’ customers. Management of non-performing loans. Post Covid-19: predictive analytics in the financial sector. Predictive analytics platform. Bank and customers’ benefit. Behind a predictive analytics platform. Company a case study: a cognitive credit monitoring platform and its marketing applicability. Marketing applications and its benefits. Practical examples of the predictive analysis power.
References
Bibliografia: pp. 81-82. Sitografia: pp. 83-88.
Thesis Type: | Master's Degree Thesis |
---|---|
Institution: | Luiss Guido Carli |
Degree Program: | Master's Degree Programs > Master's Degree Program in Marketing (LM-77) |
Chair: | Machine learning & object driven marketing |
Thesis Supervisor: | Laura, Luigi |
Thesis Co-Supervisor: | Ciccarone, Simone |
Academic Year: | 2020/2021 |
Session: | Autumn |
Deposited by: | Alessandro Perfetti |
Date Deposited: | 23 May 2022 14:57 |
Last Modified: | 23 May 2022 14:57 |
URI: | https://tesi.luiss.it/id/eprint/32443 |
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