Of course, if we are interested in artificial intelligence, data analysis is an essential step in understanding the nature of data and analyzing it and provides us with a strong foundation and learning magic.

As a software engineer:

•Improving performance and efficiency, for example, pages that take time to load or in analyzing operations, here it helps us identify the problem that we need to improve in the code and manage it more flexibly and integrated. 💯
•Predicting future expectations, more order in building several groups, such as the increasing number of users or data records that lead to duplication in database data due to weak data reliability and integrity.
• Enhancing improvements and technical support, as the analysis here helped us with the most important expected main factors, so we can solve them and improve the quality of work assurance in the long term.
♻️ • We can communicate with people with expertise in multiple and diverse specializations such as the user experience team or the most beautiful thing for those who are part of the work team and want to contribute to the goals in an integrated manner 🚀

As a UX UI analysis helps us in:

• Analyzing user control and measuring the success of new designs after their implementation. Knowing the extent of users' connection to the interfaces and their interaction with additional features.♻️
• Improving interaction and user experience by knowing the points where users face difficulty or difficulty.
• A/B Testing the design to know which of the designs enables us to interact better.✅
This helps us to practice thoughtfully on actual interactions with users.

Interconnected means that as an excellent software engineer, you must have comprehensive knowledge in order to achieve better performance with the highest quality. 🪄