Car Park application behavior analysis
Padinjarechalil Shaji, Shamnad (2022)
Padinjarechalil Shaji, Shamnad
2022
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2022092720500
https://urn.fi/URN:NBN:fi:amk-2022092720500
Tiivistelmä
The objective of this study is to do data analytics for finding user behavior and then use artificial intelligence to predict the impact of a new feature or a better UI/UX for the
customers. To understand which gives more user retention, the availability of
various features or a better-looking UI/UX. The study focuses on collecting the
required data and analyzing them to give us a clear idea on where we are losing
revenue and whether it could be saved by maintaining the existing system by
improving its availability. We focus on investigating the hypothesis that reliability is
more attractive to the users than error prone features.
customers. To understand which gives more user retention, the availability of
various features or a better-looking UI/UX. The study focuses on collecting the
required data and analyzing them to give us a clear idea on where we are losing
revenue and whether it could be saved by maintaining the existing system by
improving its availability. We focus on investigating the hypothesis that reliability is
more attractive to the users than error prone features.