big data in web designBig Data has become a popular topic of discussion in recent years, supporting businesses and IT specialists in a variety of processes. In simple words, Big Data refers to immense volume of data, both structured and unstructured, which can’t be processed with existing traditional applications. Big Data processing starts with data that isn’t aggregated , and can’t be stored in a single computer’s memory.

Big Data is more frequently used nowadays, with the purpose of analyzing insights for better business decision-making and process automation. When looking into the subject more in-depth, you will discover numerous interesting aspects revolving around Big Data, but one of the most important impacts worth mentioning here is the support offered to web development and web design processes.

How exactly has Big Data impacted these areas? What can switching to a data-driven website can do for you? Here are the main factors that highlight the pros of relying on Big Data for web development and design practices:

Faster development process

With the help of advanced analytical tools, you are given the possibility to analyze big enormous volumes of data, obtaining more precise recommendations on certain web functions and features. Learning what users prefer most permits you to speed the entire web development process. You are no longer relying on a web developer’s guess or creativity to reach optimal results and meet users’ expectations, you have clear indicators of what needs to be done.

The demands of users are usually ever-changing, and big data will allow you to stay on top of those demands in a timely manner. With accurate information at your disposal, web development becomes easier, and naturally faster. This is certainly a positive aspect, considering how important it is for business growth to have a live platform up and running.

Web application feature

If you want to go one step further, and provide your users with a more advanced browning experience, perhaps you have considered the possibility of opting for web application architecture, besides regular development and design. Providing users with the functionality of a great web application function requires you to rely on Big Data. Sending data from a server to a browser is an important part of allowing your users to view and interact with the web page. Effective data analysis practices are, thus, critical here. Storing relevant data in your database service is what permits you to provide a working web application, and a Big Data approach here is needed. Data is the thing that actually powers a secure structure, as well as a cognitive environment.

Heat map analysis

Monitoring the site areas with most user interaction will allow you to make any web design updates required to improve general user experience and drive more traffic to your online platform. Heat map analysis is made possible with Big Data, giving you the chance to make the right measurements here and discover what drives users’ attention and what isn’t exactly working well. Tracking your website’s performance in-real time can provide you with a leaping advantage in terms of web design improvement.

Traffic analysis

When you are working on effective web design, one of your concerns is ensuring visual appeal, this being a factor that can influence the strength of your online presence. A traffic analysis tool can help you compare your site’s traffic with the traffic of your competitors’ platforms, and access data that shows you what you may be doing wrong. With Big Data, you can obtain relevant information on average visit durations, number of daily page views, bounce rates and other useful details that you can later use to boost the functionality and appeal of your online platform through improved web design approaches.

Cost reduction

Web development and web design usually come with certain financial requirements. The investment the average business used to make was much higher a few years back, in comparison with the financial requirements you’ll encounter nowadays. The reduction in costs has been made possible thank to Big Data processes.

If your business, for example, has as a primary activity to manufacture and stock products, being aware continuously of when and how much new stock is required will prevent you from dealing with potential waste, while still meeting customer demands. Big Data analysis helps you make accurate predictions in this department.

Keeping your online platform updated by using Big Data and perfecting business processes will have a positive influence on the general user-experience.

Virtual assistance

Sites and web apps created using Big Data technologies have the capacity to remember the preferences of users. When a visitor reenters your site, if you’ve made use of these technologies, they can start where they left off during their last site visit. This can work as a virtual assistance approach, improving the general experience your web users have with your site.

Automating updates

Big Data is said to soon provide even more capabilities to web developers and designers. The updates that needed to be done manually in the past, could soon be handled automatically by complying data and upgrading version when users demand it. Machine learning and data scientists could make web apps self-learning, and regular enhancements will occur without manual effort from developers.

Enhanced personalization

An interactive web design can be highly important for user engagement. You should be personalizing your website in a way that actually fulfills the needs and demands of your users, make modifications appropriate for their liking. Big Data technologies can enhance personalization, allowing you to analyze user behaviors and figure what determined them to engage more with your web app or site.

These are the main aspects you should know when it comes to Big Data and the impact it has on web development and web design. Tech advancements have been made over the last few years, helping businesses create a powerful online presence. For optimal web development and design practices, making use of Big Data is advised. Once you obtain a more accurate understanding of what users actually want and expect from you, implementing optimal modification will become easy.