The radical increase in mobile users has entailed the improvement of the mobile app industry. Mobile application development agencies help businesses in planning and designing exclusive and robust mobile apps that can fulfill the requirements of clients.

People are depending more on mobile apps for performing daily jobs. And these applications consume lots of data. To assess and handle this data effectively, you need a unique data management tool. This is where big data analytics plays a role. It helps organizations get data-driven understanding from apps.

These days, tools, devices, and people create a diverse and dynamic volume of data. And this amount of data requires scalable, creative, enhanced, and new technology for analytics, hosting, and collection.

The big data technology processes data gathered for deriving rich and real-time business information associated with productivity management, performance, profit, users, augmented shareholder value, and risk.

Speed is the main factor in the world of Big Data. Generally, conventional analytics concentrates on the assessment of historical data, while, you can encompass the real-time data, using Big Data Analytics.

Some top international brands that have used Big Data for boosting the operations of their organizations are:

• Netflix
• Capital One
• American Express
• Starbucks
• Amazon

As per a Statista survey report, the global number of mobile application downloads is predicted to increase to 258.2 billion by 2022 and was 205 billion in 2018. This wide mobile app user base creates large volumes of raw data.

Raw or unstructured type of data requires high-level analytics for testing the numbers and creating precise insights out of those numbers. Here big data plays its role. Big data tools enable mobile app developers to gather, streamline, and assess various data sets for addressing patterns in client preferences. Then developers can produce big data insights to develop futuristic and innovative mobile applications.

A few popular big data tools that developers use are Hive, Cloudera, Hadoop, Tableau, and Spark. These tools enable developers to produce robust mobile applications with the integration of new features.

Big data usually works on an easy procedure: Data Collection -> Integration -> Handling -> Analysis. As an outcome, you receive the data for beginning the procedure.

1. Data Collection

This is primarily done through various applications like Instagram, Facebook, Twitter, and YouTube, and phone calls also.

2. Integration

After the data collection, it is processed for making sure that the business analysts don’t find it difficult. This helps them get a clear insight into what will be great before creating a mobile app according to client insight with big data trends.

3. Data Handling

In simple words, data is stored or handled in a way that helps it assess easily. Businesses preserve the data on the cloud, premises, etc. for keeping them safe and utilizing them when required.

4. Analysis

Analysts consider and process the stored data. This assessment helps them take unauthorized decisions according to the requirement. The data is assessed for bringing up some scopes and possibilities that are required for taking a business to a further level.

Before delving into the role of big data in mobile app development, you should understand its function because raw data has no usage. Thereby, you should assess it and extract significant data for reaching development.

The big data generally works on the 4 V’s. It helps understand the ideology of data that is assessed by the businesses that reputed mobile app development agencies take care of.

1. Volume

This is the main factor that analysts count in big data as it defines the speed of analysis. Every second, the data is obtained from search history, order history, mobile app messages, Twitter data feeds, clickstreams, and more.

Moreover, the data volume helps determine the value also for making sure that the data stream is handled.

2. Velocity

Data production is done at a rate of speed that holds much importance during assessing and utilizing it. Moreover, speed relies on the data volume that is created or processed for use for the business. It incorporates the data stream in websites, social platforms, mobile devices, and more.

3. Variety

The big data incorporates many varieties as data arrives in several types. Whether it is video, voice, text, and more, data is all around us. The data is gathered in the unstructured, semi-structured form, which is changed to a structure. The structured data is established in the order after processing for drawing out the precise data that is required.

4. Veracity

Big data is sourced actively from different places; and as an outcome, you need to check the quality or veracity of the data that can be significant for the organizations.

The necessity of big data is huge as it epitomizes data collected from video and voice recordings, machine data, social media, continued preservation, and structured and unstructured data logging.

The role of big data in mobile app development is not only for assessing the data and providing you insight, but it runs more intensely.

So, what makes big data a meaningful and important factor in mobile app development? Let’s explain!

1. Analysis of User Experience

The mobile app development industry is growing rapidly. Aside from customer requirements, developers are susceptible to know the ways users utilize their mobile apps. Hence, using big data app development, you can conduct a detailed analysis of user experience.

As an outcome, it provides a detailed analysis of user engagement for every feature and page. You can utilize similar data for preparing a list of everything that users require, want to change, or enhance.

2. Real-Time Data Availability

Customers’ needs change almost daily and rapidly. They need something exclusive and want organizations to offer useful solutions. Henceforth, organizations are also transforming their trends, requirements, and tactics.

Organizations are utilizing big data for boosting mobile app development process for being aware of the continuous change and new client needs. It provides awareness into the world of clients on what they need and what can be great for them. It is highly prospective because of real-time data assessment. It helps organizations take data-driven and real-time decisions that can improve user experience.

3. Customized Marketing Campaigns

User behavior data analysis incorporating requirements, likes, dislikes, and expectations can create customized marketing campaigns.

With big data, you can assess buying patterns, demographic data, and users’ social behavior for changing your marketing plans as per their present requirements. By creating the right tactics, you can fuel engagement, drive adoption, build app revenue, and boost satisfaction.

4. Client Requirements

High-quality applications always meet users’ requirements. They lookout for more managed mobile app development cost. Big data helps you assess the huge data flow that users create regularly. It would benefit you with reviving awareness.

Big data brings up users’ requirements in the present marketplace. Moreover, you can generate concepts for quality and innovative mobile applications, by understanding the interaction and reaction of the users of various lifestyles, locations, backgrounds, and age groups.

5. Sales Conversions

The main mottos of creating a mobile app are helping in customer interaction, fixing client issues at some clicks, boosting revenue, etc. Big data is not restricted to only collecting local data and utilizing it for understanding the users. The mobile applications go primarily in a particular nation or globally.

Thereby, the use of big data is important to enhance mobile app development process. The developers research the data for making sure that they can provide an enhanced and better solution. Moreover, a better understanding makes it easier for developers to include mobile app monetization models in it.

6. Social Media Analytics

Big data analytics help organizations recognize mentions of their items on social platforms. These mentions can be complaints or dynamic media like video and images, and client reviews. Organizations utilize social networks for benefitting positive client experiences and respond to the client who mentions their organizations.

You can discover greater ways of product selling if you know your clients better and understand their ways of interaction with several social networks.

7. Connected Devices

In case you know about IoT-based devices, you should also know that they will stay for a long time. Moreover, there has been a large influence of IoT on mobile app development and big data is incorporated in it. IoT is a superb way of moving ahead using automation and develop in the market with the help of the right tech use of big data.

IoT helps ease complicated procedures and connect gadgets with apps for users. So, what is the role of IoT devices and big data in app development? IoT devices help gather data from users and assess them for actionable awareness. These help developers get user-friendly and result-oriented applications that can influence the market.

It can be expected that there will be over $581.9 billion in revenue by the end of 2020 produced in the mobile app industry. This is usually because of a standard shift and an increase in users in mobile app technology.

When it comes to the future of the mobile app, big data is included in digital technologies. Since big data plays a pivotal role in mobile app development, it is predicted to be with us in the future also. Due to its simple performance and advanced features, it has become an essential part of the mobile app industry.

Henceforth, investment in big data analysis is one of the best decisions for agencies. If you explore the mobile app development industry, you can see that developers acquire much using big data. It helps enhance the app development process, offering a perfect user experience.

Mobile applications transform more than web applications. They are higher in demand because of the simplicity of use and easy display. Thereby, developers should work hard for offering an engaging and unique user experience.

Big data offers a massive amount of data regarding location, user needs, and choices. To stay ahead of the competition, organizations should use the data obtained by big data analytics effectively.