Digital advancements in mobile app development have led to the rise of remarkable technological considerations across the global market segment. Smartphone users are rapidly growing, and it is expected that this growth will be around 10 billion by the end of 2022. Due to this, several apps are developing, and the data is growing faster. This is a rise in Big Data, which can help developers leverage ROI in mobile app development.
Suppose you want to improve efficiency in mobile app development. In that case, data analytics will help people become more intelligent using the latest technological trends. Nowadays, data is massive, and millions of data in megabytes are transmitted daily between users and businesses. This data helps developers build more intuitive and innovative mobile apps to engage more users. Hence, big data analytics helps to know about the customer’s behavior in using mobile apps. The extensive data allows them to collect, arrange, and estimate different data sets to make an engaging and user-friendly app.
Smartphones and other intelligent devices change the way people live across boundaries. Today, an average person successfully runs his business via a mobile app only. He controls everything by sitting in one place, whereas high-end technology drives seamless technological horizons. Hence, big data analytics works smoothly in such apps to provide valuable metrics based on each person’s needs. This blog sheds light on how big data impacts mobile app development in the real world. Before delving into deep, we will know about “Big Data” in detail:
What is Big Data?
Big data is nothing but large size of data that exponentially grows very fast and increases at a higher rate. The term deals with many complex data to store using the conventional data process apps. However, this data assists companies in making several crucial and strategic business decisions.
This technology plays a vital role in mobile app development as it outlines the complete information about user behavior. Instead, it helps developers focus on various points when developing an app. The rapid expansion in mobile users and the data they generate every moment has a given option to Big Data Developers.
It helps them to provide an intuitive UI/UX design. Furthermore, it allows large companies to offer data-centric insights from the app users, as many Big Data tools such as Spark, Hadoop, and Hive helps developers use in their development perspective. These tools are helpful for developers to build the latest and trending mobile apps that add new features.
Implications of Big Data in Mobile App Development?
The implications of big data in mobile app development are endless, some of them are discussed below:
1- Understand the Audience
Before starting to work on mobile app development, understand that your target audience is a crucial factor. Big data analytics can provide valuable insights into how users from multiple backgrounds and age groups interact with mobile apps. By inducing the analytical data, mobile app developers across the globe can present your better with custom and innovative apps.
For Example, Uber uses Big Data Analytics to analyze the real-time traffic conditions, cab availability, and journey time estimation before providing you with an affordable estimated cost.
2- UI/UX Analysis
After you’ve analyzed the customer needs and privileges, mobile app development requires a comprehensive understanding of how the users use apps. Big data unveils which element of the mobile app users tend to spend their precious time. By introducing such information, you can ensure the appropriate modifications to the overall design and improves usability and user experience.
Furthermore, after a complete analysis of user behavior on multiple features within the mobile application, the developers can add more innovative features to the liking of your market audiences.
3- End-to-End Marketing Aspects
Big Data Analytics provides intelligent marketing tools and services that include Predictive Analysis. It enables the organizations to predict the overall success of your app and recommend the necessary steps to leverage the popularity of your product.
In particular, the predictive analysis of Big Data provides data mitigation services that enable mobile app developers to transfer your data between multiple apps quickly. It makes it easier to hold customized marketing campaigns across multiple channels simultaneously.
Big Data Analysis also gives you insights into customer purchase behavior and demographic data to assist you in marking the marketplace. Leveraging Big Data could impact your marketing strategies in various ways:
- Provides better and intuitive pricing decisions and shares content and designs that attract multiple customers.
- Address the significant points of customers.
- Provides a streamlined path to reach your target audience.
4- Real-Time Data Segments
The mobile app market segment continues to traverse the changes based on the latest trends and customer preferences. To stay ahead in the competition, you must be constantly aware of such changes. Big Data Analytics could always provide you with real-time information to make informed decisions about improving your sales conversions.
A clear example of real-time data would be fitness tracking apps that monitor users’ regular activity patterns, including eating, sleeping, etc. In terms of real-time data, fitness tracking apps include those apps that monitor their user’s daily activity patterns, including eating, sleeping, and many more. For the mobile app to perform optimally, the app must continue to receive uninterrupted real-time data. The data is then analyzed, and the app tends to inform its users in case of abnormalities.
The personalization of your user experience will be your app engagement. Big Data helps you analyze your customer’s queries and responses. It provides valuable details such as your app’s liking, disliking, preferences, and expectations. These constructive insights can provide a top-notch user experience.
In terms of offering personalized experiences, Amazon has induced Big Data to provide product recommendations based on the user’s purchase history, viewable history, and latest trending products. Furthermore, personalized recommendation like these makes the shopping experience interactive for each shopper more intuitive, resource-oriented, and accessible.
Each day, the mobile app industry is impacted by gradual technological and market-driven trending changes. Also, the developers must work hard to offer eye-catching and compelling usability and user experience.
Hence, the significance of big data helps the developer in this goal by providing details so that pivoting can be avoided. So, which of the above ways do you think is leveraging the mobile app development to the next level?