Mobile UX Design: Tips on How to Put Big Data in the Context
Do you know that making conversant and data-driven decision plays a very important role in creating UX, which got the attention of the audience?
Businesses, entrepreneurs, and UX professionals are allowed to access information, which guides them in building more effective user experience for apps by data analytics.
A lot of mobile app development companies, entrepreneurs, and designers are showing their interest in the contextual use of UX elements. There are different attributes like the location, situation, user behavior, user preference, the pattern of interacting, etc. that are making individual contexts.
Therefore, analytics uncovered to masses of user data corresponding to these elements that are necessary for powering UX design with contextual analytics. Every single day, the volume, velocity and different data producing petabyte and Exabyte of data, there is no surprise in that with the volume and speed of data.
However, the important thing in this is how we are going to make sense of this huge volume of data. Context will be the key no matter whether increasing accuracy in decision making or in predictions with important insights garnered from huge data. Moreover, the mobile device produces the maximum volume of data and due to this intrinsic character as a personal device present in all circumstance, context is highly important in driving decisions.
Do You Know How Big Data Helps to Enrich Mobile Experience?
Don’t we know how such huge volume of data has any relevance to today’s businesses?
With different ways, we can easily make big data essential for developing an excellent user experience.
Considering mobile UX design, a data-centric approach will make a lot of things easier for all the users in following ways:
- Talking about big data, it delivers an in-depth understanding of customer behavior, enabling them more meaningful interactions.
- Through big data, developers will also get huge help in gaining the deep knowledge of the customer and developing UX optimized for the target audience.
- In addition to this, big data also enables a data determined approach by enabling customer behavior and contextual analytics conforming to preference, location, and interest.
A Significant Role of Big Data Visualization in UX Design
To serve a more instinctual and unique way of showing information, data visualization is where big data and UX meet. Talking about data visualization, it is one form of visual presentation of data in pictorial or graphical format.
However, mobile users are not enthusiastic in order to go through huge text and they progressively favor instant viewable data. We all know that the device screen is extremely smaller and mobile residing on an on the go device; therefore, users don’t like attentive reading most.
This is the reason why showing complex data in a visually appealing way is highly popular in mobile apps and mobile friendly websites. At the time of putting data into different graphics or images, user experience design is extremely helpful and can also introduce the feature in them.
It is considered as a spontaneous way to purify data into useful graphic patterns that can be rapidly looked. The gem of the data is exposed and delivered evocatively to the user often by putting complex information into the graphic presentation.
Adding up of Big Data by Foreseeing User Requirements
When it comes to talking about the user experience, it considered as a bridge between the end user and big data analytics. The importance of big data for illustration vision concerning user behavior, which is huge.
This highly important information can also make positive difference in user experience design. All the UX designers are thankful for the insights that collected from various data sets and develop solutions for users, addressing their individual’s situation and requirement.
The data analytics will provide an important prediction as for where and when a service in needed while UX design makes sense of Big Data by contextualizing it in terms of mobile experience. When it comes to mobile commerce, it is especially true.
UX design is based on foreseeing helping customers to access their desired products and services in chosen way, location and time whenever they require them.
Putting Big Data Analytics into User Contexts
Often most of the users are behaving on applications in surprising ways and many a time, when we have no clue for explaining a heavy rate of quitting the app. Not like web applications, mobile applications are often released and the mainstream of such dropouts happen because of certain UX elements.
There are some form fields that are taking too much time and making the users do numerous things and it can also contribute to such dropouts. Same like this, push notifications are completely outdated and empty to users, who can invite users to consider the app needlessly distracting.
In any case, if the form field is taking huge time to fill up and it making the user goes through the difficulty of searching out particular information, at that time, users need to consider skipping it together.
We can say this is the right example of UX design and it has to be considered in mind in search of information and the time that has been taken while filling the form. In addition to this, the locations of the individual and use pattern also need to be considered in mind as there are many different users, who may read it differently.
At this time, user data from varied sources can deliver useful insights about the variety of user contexts and such insights can provide a complete guide in personalizing UX designs.
We all are well aware that the decision-making process in the Big Data environment is driven by right models and patterns to a great extent. By contextual analytics, we can get insights about how people can actually behave when they use a mobile app and such insights can also help out to develop wonderful models.
Let’s Have a Look at the three Incredible Mobile UX Design Principles
Give attention on User Goals
It is important for you to paying attention to your users’ goal and you should think about what your users are trying to accomplish, so you should focus on their key goals.
Let’s take one example, users, who are looking forward to searching a local hotel, work out what the weather will be like today or get the time for the next train. You should be focused on the user goals that you have recognized and don’t get distracted by trying to design and develop features, which are not in use on a mobile.
Divide Tasks into Different Bite Sized Masses
When it comes to dividing tasks into different bite sized masses, this is the step of a checkout process that is a well-established UX design principle. For mobile designs, this step is highly important as you do not have to throw too much difficulty at a user at any time.
Make sure that you don’t replicate the steps from a desktop site or application as there is much complexity at the time of tackling on a mobile. Rather than this, you should try to keep every single step focused.
Take Benefits of Capabilities of Mobile
These days, modern mobiles are a modern day miracle of technology and there is no doubt that your smartphones have a GPS device, which will let you know precisely where you are anywhere in this whole world.
Maybe it also has an accelerometer and gyroscope for sensing position and orientation. Perpetually, it also has a digital camera, a microphone, and a vibrator as well for delivering haptic feedback. You should try to take benefit of these mobile apps abilities wherever possible in order to enhance the user’s experience.
For instance, you could make use of the digital camera in order to allow credit card numbers to automatically read. In order to detect and default to the local location, you should make use of the GPS. You can also use shake and various other movements.
Using Big data you can target your audience can be made accurate and can lead to a definite increase in traffic. Mobile apps are going to get benefited the most and Android & iOS app development company defining business intelligence through big data analysis using Hadoop, Hbase, Hive, Pig, Ozee, Scoop, Thrift, Solr, and Impala.
About the Author
Sunit Nandi I'm the leader of Techno FAQ. Also an engineering college student with immense interest in science and technology. Other interests include literature, coin collecting, gardening and photography. Always wish to live life like there's no tomorrow.
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