The world of startups in Italy is growing rapidly and is increasingly competitive. So many companies with innovative solutions in different fields are emerging and consolidating, and it is therefore essential to develop as effective a strategy as possible to go to market. A data-driven approach and the use of innovative technologies are competitive advantages that startups must adopt to succeed. This thesis will present Filli, the startup I founded in 2022, from the conceptualization, prototyping and market launch phase. It will also highlight some Agile and Lean data-driven methodologies and how machine learning methods can provide value to new technology products.
The world of startups in Italy is growing rapidly and is increasingly competitive. So many companies with innovative solutions in different fields are emerging and consolidating, and it is therefore essential to develop as effective a strategy as possible to go to market. A data-driven approach and the use of innovative technologies are competitive advantages that startups must adopt to succeed. This thesis will present Filli, the startup I founded in 2022, from the conceptualization, prototyping and market launch phase. It will also highlight some Agile and Lean data-driven methodologies and how machine learning methods can provide value to new technology products.
A data-driven approach to designing, developing and launching a startup.
PESSINA, LUCA
2022/2023
Abstract
The world of startups in Italy is growing rapidly and is increasingly competitive. So many companies with innovative solutions in different fields are emerging and consolidating, and it is therefore essential to develop as effective a strategy as possible to go to market. A data-driven approach and the use of innovative technologies are competitive advantages that startups must adopt to succeed. This thesis will present Filli, the startup I founded in 2022, from the conceptualization, prototyping and market launch phase. It will also highlight some Agile and Lean data-driven methodologies and how machine learning methods can provide value to new technology products.| File | Dimensione | Formato | |
|---|---|---|---|
|
Pessina_Luca.pdf
accesso riservato
Dimensione
6.34 MB
Formato
Adobe PDF
|
6.34 MB | Adobe PDF |
The text of this website © Università degli studi di Padova. Full Text are published under a non-exclusive license. Metadata are under a CC0 License
https://hdl.handle.net/20.500.12608/46200