7 Ways To Use Big Data For Your Mobile App

Dhaval Sarvaiya Dhaval Sarvaiya
April 9, 2021 Big Data, Cloud & DevOps

The mobile application development industry has gained momentum as a result of the rapid growth in mobile users. Mobile app development companies help businesses to plan and design the best mobile apps, adhering to customer-defined standards. Reliance on mobile apps to perform day-to-day tasks has increased. According to a report by Statista, the number of mobile app downloads globally was 205 billion in 2018 and is expected to reach 258.2 billion by 2022

Such applications require significant data utilization. Therefore a robust information management tool is needed to analyze and manage this data in an effective manner. This is where the analysis of big data is critical. It helps enterprises gain data-based information from the app.

What Is Big Data? 

Today, the dynamic and disparate volume of data is generated by machines, equipment, and people. This huge set of data requires evolutionary, innovative, enhanced, and scalable technology for analytics, hosting, and storage. Big data technology is capable of processing the data collected to provide rich real-time insights to businesses about users, performance, risk, productivity management, and shareholder values.

In the world of Big Data, the main crucial factor is speed. Big data typically focuses on analytics and real-time data. 

Some of the world’s largest businesses use big data technology to improve their operational efficiency; Amazon, Starbucks,  Netflix, Capital one, etc.

7 Ways To Leverage Big Data For Your Mobile App:

1. End-to-End Marketing: 

Big data plays an important role in identifying current market trends during the development of application ideas. Big data analytics has streamlined the open-source code removal and storage process for developers. As a result of the streamlining of the development process, the time devoted to coding is significantly reduced. And ultimately, it will reduce the cost of production. 

Big data analytics provides intelligent marketing tools through which you can build a list of target audiences and achieve an enormous increase in traffic. It also includes the services of predictive analysis. Predictive analytics enables businesses to anticipate the long-term use and success of mobile apps. And also take the necessary measures to increase the popularity of a product.

Furthermore, data mitigation services enable app development companies to have rapid data transfer channels. And it can link data across several applications.

2. In-memory Database:

Nowadays, storing data is a challenging task because the entity’s data can no longer be stored with RAM. There are many tech giants such as SAP, Oracle, Microsoft, and IBM that have introduced various in-store memory database technology. But it tends to be very expensive. 

Thanks to the integration of Big Data, technological organizations can easily store huge volumes of data for long periods and in an organized way. Big data technology assists companies to utilize and store the data in a better and secure manner. 

3. Advanced Analysis Of UX:

It is important to analyze the user experience while developing an app. Big data can help app creators to study customer behavior to focus on key app functions. This analysis may assist application users in optimizing their applications and improving the user experience. Eventually, you will get a complete analysis of every feature of the user and page-related engagement. And you can identify the most sought-after features as well as pain points.

You can even analyze which components of your mobile app make users spend more time and which causes them to leave. You can use this information for creating a list of features that users demand, plan for modifications in the design, improve user experience, and optimize engagement. In this way, the user obtains an application that meets their expectations.

4. Real-Time Data Analysis: 

Modern companies must remain in permanent contact with all developments that occur in business tactics. Big data is something that ensures highly promising outcomes for the ability to review data in real-time. And big data includes real-time analysis of data.

Big data allows you to make real-time and data-driven decisions that ultimately enhance the customer experiences and result in higher profits for the business.

At present, growing numbers of companies are turning to app developers for developing high-quality web and mobile apps. If you are also considering developing a mobile application for your business, you need to hire the best-dedicated development team from the marketplace. Discuss with them about everything from the functionality of the application to the total app development cost. And leverage the big data technology and get higher revenue from the business.

5. Increased Turnover Conversion: 

Through big data, you can assess user needs, pain points, and preferences, etc. This data can be used to increase prospect generation and conversion rates. It can also help you increase user engagement and revenue simultaneously. 

Big data technology analyzes huge data at a fast speed, and therefore, it is the best technology to reach mobile applications on a global customer base. Big Data Analytics will assist businesses to adapt to a larger user base and ensure better turnover conversions and incomes.

6. Understanding The Customer Needs:

For the success of any mobile application, it is essential that the application is convenient to use, bug-free, provides an attractive UI and UX, Offers an eye-catching look, etc. And to keep your customers connected to the app, it is important that your mobile application caters to all the needs of the user. It also ensures a more manageable app development cost. 

The use of Big Data makes it possible to analyze the huge data stream generated daily by users. You get to leverage large-scale data to gain critical insights. This ensures that the application meets user expectations.  

In addition, you can come up with ideas for innovative and high-quality mobile and web applications by understanding user interaction and feedback.

7. Customized Marketing Campaigns: 

By analyzing data on user behavior, including user preferences, aversions, needs, and expectations can customize marketing campaigns. By using big data you can analyze demographic data, buying patterns, and users’ social behavior to change your marketing strategy based on their current needs. 

If you develop the right strategies you can drive adoption, increase satisfaction, boost engagement and as a result, it will increase the revenue of the application. Big data assist to develop new strategies that are effective as per the market standards. Thus, Big Data technology helps to remain at the forefront of competition in the marketplace.

The world’s largest business app, Amazon utilizes big data to enable predictive analysis. And also by using big data they offer product suggestions based on purchase history, viewed, and trending products. Customized recommendations offer the most relevant products and interactive purchasing experience to every buyer.

Summing Up:

Nowadays, mobile applications are like the nucleus of digital marketing strategies employed by companies. Such mobile applications are more popular due to their ease of use and advanced performance. Consequently, application developers must work hard to deliver an appealing and unique application.

Big data provides a broad range of information about the conduct of users such as their preferences, requirements, location, etc. The impact of big data on mobile and web applications is expected to change the ways companies operate in this increasingly competitive marketplace.

Nevertheless, it is important to employ a team of experienced mobile app developers to efficiently use the data purchased by big data analytics.

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