Improving prevention and research through the use of IoT and data analysis in the healthcare industry: the Evotion’s case
Pietracura, Alessio (A.A. 2019/2020) Improving prevention and research through the use of IoT and data analysis in the healthcare industry: the Evotion’s case. Tesi di Laurea in Digital marketing, Luiss Guido Carli, relatore Máximo Ibarra, pp. 83. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Big data: collection and uses. The significance of "data" detention. The datafication. Big data requirements. Data acquisition: the cloud. The diffusion of big data in small and medium enterprises. Collection of big data and social and privacy implications. Smart data. The relationship between sentiment and data. The survey of algorithms. Value extraction from data. Smart data processing. Healthcare smart data. Data driven business models. Data-driven business model: defining analysis. DDBM, the aims pursued. The path followed by the DDBMs. The Netflix case. Evotion: data in the digital health market. Evotion’s business case. Momi by Evotion: a new solution for monitoring children.
References
Bibliografia: pp. 68-69.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Management, English language (LM-77) |
| Chair: | Digital marketing |
| Thesis Supervisor: | Ibarra, Máximo |
| Thesis Co-Supervisor: | Marcati, Alberto |
| Academic Year: | 2019/2020 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 14 Apr 2021 14:18 |
| Last Modified: | 14 Apr 2021 14:18 |
| URI: | https://tesi.luiss.it/id/eprint/29037 |
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