Please use this identifier to cite or link to this item:
https://hdl.handle.net/10321/5579
Title: | Health insurance cross-selling predictions with machine learning for South African consumers |
Authors: | Mavundla, Khulekani |
Issue Date: | 2024 |
Abstract: | Cross-selling is the practice of selling additional products or services to an existing customer to increase business revenue. Cross-selling health insurance is challenging for companies, as they spend significant time meeting with prospective clients without knowing the likelihood of a sale. A health insurance provider often markets additional insurance products to its clients through different c... |
Description: | Submission in completion of the requirements for the Degree of Master of Information and Communications Technology, Durban University of Technology, Durban, South Africa, 2024. |
URI: | https://hdl.handle.net/10321/5579 |
DOI: | https://doi.org/10.51415/10321/5579 |
Appears in Collections: | Theses and dissertations (Accounting and Informatics) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Mavundla_K_2024.pdf | 2.71 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.