Synthetic data in action: evaluating practical applications in customer analytics

Ambrosino, Ludovica (A.A. 2024/2025) Synthetic data in action: evaluating practical applications in customer analytics. Tesi di Laurea in Statistics for marketing, Luiss Guido Carli, relatore Francesco Salate Santone, pp. 117. [Master's Degree Thesis]

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Abstract/Index

Literary review. Definition and origin. Synthetic data generation techniques. Synthetic data uses and applications. Validation and quality of synthetic data. Limitations and open challenges of discipline. Empirical research. Research design & objectives. Dataset description & preparation. Synthetic data generation. Exploratory comparison between real and synthetic datasets. Comparative analysis on predicting and unsupervised modelling.

References

Bibliografia: pp. 70-81.

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: Statistics for marketing
Thesis Supervisor: Salate Santone, Francesco
Thesis Co-Supervisor: De Mauro, Andrea
Academic Year: 2024/2025
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 21 Oct 2025 15:35
Last Modified: 21 Oct 2025 15:35
URI: https://tesi.luiss.it/id/eprint/43459

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