How can you build an ideal user experience, scattered across countries, cultures, and continents, by balancing the aspirations and expectations of billions of users? All mobile app development companies have the same question, and they can find their answer in big data.
Undoubtedly, big data analytics comes with enhanced efficiency to mobile application development in multiple ways in order to ensure the success of the mobile app. Here is a detailed perspective on it:
1. Customer-Driven Applications
For the initial success of any mobile application, some factors are quintessential. First, it must be convenient for use, it has an eye-catching look, and it must be free of bugs. And if you want your customers to use your app in the long run, it is very crucial that you meet all the needs of the user. Here, the applicability of big data steps in. As it offers a detailed perspective or analysis of the customer experience.
So if you have access to deep data analysis on the needs of the customer, you can design a better app that encircles user user-oriented planning and unmatched user experience.
Big data analytics algorithms deliver elaborative information by studying customer behavior. This data provides businesses with innovative ideas for creating new mobile applications. Furthermore, companies can create solutions to enhance existing applications to attract more customers while retaining older customers. It helps in creating client-driven mobile apps and acts as a perfect tool to increase revenue and reputation.
2. End-to-End Marketing
Without a doubt, Big data is playing a significant part in determining the current trends of the market when developing ideas for apps. Unfortunately, most of us are still ignorant that big data can be crucial for developing mobile apps after generating ideas. It has simplified the process of removing and storing open-source code for developers.
Thus, it decreases the time of the development process, which further paves the way to reduce the cost of production.
It offers innovative marketing tools with which you target a specific interested audience and witness a huge increase in traffic. Its services such as Predictive Analytics empowers businesses to predict the long-term use and success of the mobile app and take the necessary steps to increase product popularity. Furthermore, its applications such as data mitigation allow app development companies to have quick data transfer channels that can connect data between multiple applications.
3. UX Analytics
As mentioned before, analyzing UX is crucial for developing mobile apps. Big Data sheds the light on the critical behavior of customers that focuses on the core functionality of the mobile app. This detailed analysis of users’ behavior helps the developers to use the information to build a mobile app. Furthermore, big data analytics allow app developers to identify the loopholes in the way of customer experience and upgrade the product as per the exact user’s requirement.
4. Real-Time Data
With the unprecedented changes in trends, clients’ needs and preferences are changing accordingly. That’s why to get the edge over the competition, it is quintessential for businesses to be adaptive to the innovative patterns. With the assistance of big data, you can get real-time information on any specific trend in the market. It allows companies to make informed decisions to improve customer gratification and improve sales conversion.
For instance, let’s take the example of fitness tracking mobile applications. They efficiently monitor eating, sleep, and other health activities. So to make mobile applications work efficiently, it is crucial that the app have access to real-time information, allowing the end-user to establish a better lifestyle. This real-time analysis of data also empowers doctors and healthcare providers to detect any health problems that an app user may encounter. In addition to this, by using precise data, advertisers can follow market trends even in the middle of the campaign.
5. Better Sales Conversion
Mobile applications are developed in a particular way that they serve the purpose of improving revenue. Here the applications of Big data are not restricted to collecting local data. Through its unlimited range, businesses can easily plan products to be launched in other regions or even countries, which will ultimately improve the reach of the app. Furthermore, with the option of in-app purchases, you can monetize your product. In order to successfully achieve this goal, it is important to study the purchasing trends of the target audience.
In the front of future innovation, different big data elements such as edge computing allow companies to study and analyze information and draw results close to the source. This reduces the distance traveled by the data, latency as well as the cost of transferring the data. Furthermore, big data allows firms all across the globe to develop individual app settings based on user needs. This ultimately encourages user engagement and increases app performance.
6. A new era of marketing
The methodologies of Big Data Analytics are changing the path to knowledge-based mobile app design, where product marketers try to find a link between an email platform and a mobile app. Some of the well-known marketers working on these aspects are Salesforce Marketing Cloud Email Studio, stronger than Epsilon’s Agility Harmony digital messaging platform, Cheetahmail, and Silent.
The capability of mobile apps to use big data analytics has become an indispensable practice for companies that are targeting users on a professional level. Business analysis of operational intelligence and marketing can all be beneficial.
7. Improving Android app development with Big Data
Some enthusiasts in the industry have a theory that says, data analytics will affect Java to the extent that it’ll become an optimal standard for other app development tools. Already, there is a significant amount of data available for any Android mobile app developer in order to adopt this technology. All thanks to its open-source communities in which it has deeply rooted its roots. But, unfortunately, a major number of app development companies don’t have the data infrastructure in place to harness this technology in their operations.
As you already know, most Android mobile applications are developed with the help of a programming language known as Java. With the amount of data to sustain rapid growth, it is very evident that Java will be the future of big data. Although the programming language has existed for quite some time, however, it is good to know that the exact time of its spread has just begun, thanks to the recent introduction of Big Data Analytics.
Understand Data and Where It Leads Us
Every time you sign up for a utility mobile app, you have to fill in some specific details like name, location, and other basic information. Some mobile apps register your interests and preferences for the services or products you offer. Adding it with information coming from thousands of users in your region, millions in your state, and if you are in China billions in your country for the largest food delivery, virtual cab, or newspaper service. A lot of data at their disposal. No one can gain knowledge until this data is processed into a piece of meaningful information by applying data analytics algorithms.
Data in its refined form qualifies as real information, and conclusions are drawn from the same information that qualifies as knowledge. This is where the importance of big data analysis comes into play. And literally, no corporate giant would be willing to let this knowledge go in vain. Investing heavily in business intelligence, enterprises are nowadays using this knowledge to provide a personalized user experience. Taking a cue from Amazon, many of these app companies have switched to promotional offers, personal recommendations, and social ads.
Surprisingly, enterprises worldwide use only 0.5% of the data at their disposal and are only
embarking on a journey that’ll transform the mobile app development and operation of mobile
applications for good.
“The mobile app market is expected to reach $ 189 billion, a
quota of over $ 100 billion by the year 2020, due to a large number of users who have almost
completely shifted to smartphone and tablet usage. Hence, creating a better usable mobile
app is the future of digital technology”.
Top Brands Using Big Data Analytics
Although various companies use Big Data technology to gather customer-centric data in real-time and deliver them with great services, the popular names are:
Conclusion
Mobile apps change rapidly unlike computer apps. However, they are more popular due to their ease of use and advanced performance. Therefore, app developers have to work hard in order to deliver an attractive and unique application. Big data offers a vast range of information about users’ conduct, for example, their preferences, requirements, location, etc. However, to efficiently use the data purchased by big data analytics, it is crucial to appoint a team of experienced mobile app developers.
