Integration of Data Analytics with UI/UX Design - IT Assignment Help

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UI/UX have been one of the most important aspects in the field of e-commerce. Companies depend on the use of UI/UX to improve their approach in enhancing their customer satisfaction and also customer experience. The better the UI/UX design, the more approachable would be the website which would further be beneficial in deepening holds over market and also simplify the process of entering new markets. A simple and clean UI/UX design is important in relieving confusion for the customer and also saving their time by simplifying the different steps to be followed for them to navigate through the website. But the design procedures for an effective and simple UI/UX design is also prone to many challenges. UI developers are prone to major challenges such as selecting and adding new GUI elements which are simple but are also able to leave an impact over the user’s mind and differentiating between static and dynamic content and also separating the content which require a link and those without links. UI developers are also prone to the challenge of client satisfaction are there can be occasions in which clients make a certain request related to UI designing and squashing the ideas set forward the developers. Similarly, UX developers are also prone to several challenges. One of the greatest challenges in the field of UX development has been conducting user research. Websites are used by a wide range of customers who have different choices and these difference in choices and requirements are needed to studied by UX developers so that they can add the necessary requirements to meet the demands of the customers. In order to reduce the effects of these challenges in the field of UI/UX development, developers have been making use of new and emerging technologies which have been able to not only reduce these challenges but have also enhanced the efficiency of these services.

a. To develop a simple website using bootstap tool, which can be used by participants and also collect different parameters for each user such as search history.
b. To understand the different parameters related to UI/UX development and their impact over customers.
c. To understand the different types of machine learning algorithms and identify the ones best suited to analyse user generated data in UI/UX development.
d. To develop a system which can feed on user data and accordingly make changes to a website.

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