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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