Big data, as the name gives it away refers to the massive amount of data sets that are also more complex compared to the small-sized datasets. Big data is currently a part of any industry that is involved in virtual activities including healthcare, transportation, education, and more.
A Statista report shows, that between 2019 and 2025, the big data analytics market is expected to grow at a CAGR of 30% making the expected revenue worth $68 billion in 2025 compared to $15 billion in 2019.
For the app development market specifically, big data is helping these apps become smarter. At the moment, there are over 6 billion smartphone users existing across the world which generates a massive amount of data for several industries like entertainment, e-commerce, etc. Using this data, app owners are now able to optimize their mobile apps and make their services more efficient.
To understand how to build mobile apps by leveraging big data, we are breaking down a few points further. Let’s have a look!
Customer-centric development approach
A development approach can be optimized to make it more customer-centric if it uses a massive amount of data. The data that is generated by tracking users’ behavior, demographics, financial statistics, and more can be used to make apps that make the user experience more efficient for the targeted customer.
The data generated by customers can also be used to figure out what they need and what problems exist in the target market that can be resolved by launching an app that you are planning to build.
Targeted advertising campaigns
Big data allows top mobile app development companies to target the right customers to show ads. Targeted ads, if done using accurate data, have a better probability of securing conversions compared to the traditional approach.
These ads also make it possible to avoid irritating the wrong customer group by targeting them for irrelevant ads that do not fit their needs or interests. Big data helps modern advertising tools filter these targeted groups automatically.
Well-optimized App Marketing Strategies
Even for strategies like Search Engine Optimization (SEO), App Search Optimization (ASO), social media marketing, and other such strategies to grow the visibility of your app, big data has plenty of advantages to offer. The data can help find answers like the right keywords to target, the right tools to use, the right time to post, etc.
Accessibility to Real-time Fluctuations
There can be certain moments when the target market suddenly fluctuates due to external factors like the pandemic, financial crisis, stock market fall, etc. Big data that gets updated in real-time helps app developers stay in the loop with such events so if needed, they can optimize their user strategy.
Personalized Content or Product Recommendations
Big data helps you understand customers better. However, many businesses like Netflix, Amazon, Spotify, etc. are using big data to make their app AI smarter. AI uses the data to understand what the app user might like and recommends their products or services accordingly. These recommendations help app users find stuff they might want to stream or purchase depending on their taste.
Better External Device Support
Connected devices can be better optimized using big data. The big data generated by connected devices helps developers stay in the loop with the health of these devices. Not only that, combining the Internet of Things (IoT) and big data helps devices enable other benefits of connected devices such as better optimized performance, instant responsiveness, etc.
Smarter Voice Control
Big data helps apps become smarter so these apps can understand more voice commands, languages, accents, pronunciations, etc. This enables the ability to control apps using voice commands and apps are able to respond faster and understand the app user better.
For building inclusive apps that make the lives of individuals who are blind easier, big data is commonly used to understand voice commands better and offer an easy-to-use experience. KNFB and Seeing AI are two examples of the apps using advantages of AI to be inclusive and supportive.
Planning the UI strategy
While planning the right UI/UX strategy for your app, big data can help you answer a few crucial questions like-
- What is the tech literacy of your target user so you can decide how sorted and straightforward your app UI should be
- What is the average internet speed available to your user so you can use visual components and a number of features to optimize the loading speed of your app accordingly
- Big data can also help you figure out what kind of app pages are holding users for longer, where the most conversion is coming from, what is the ideal UI color that app users like, etc.
Answering these questions with statistics can help you optimize your app’s design better so you can attract more visitors and conversions to the app.
Enhancing App Data Security
Cyber threats are rising in parallel with tech advancements and making it harder for app developers to keep their app’s data safe using traditional ways. So, now most developers are adapting the abilities of big data, deep learning, and AI to automate the cybersecurity part of the development process and protect app data better.
The app data can help cybersecurity AIs recognize patterns of cyberattacks and take measures to counter or survive them while raising alerts in parallel. Even OS developers like Google and Apple are building smarter Operating Systems by integrating AI algorithms to keep the cybersecurity of apps as the priority.
Big data is now a part of the majority of app development companies in the current decade and helping apps join more industries as opportunities are rising. A mobile app development company that knows how to use big data efficiently can rise through the competition faster than an organization that still focuses on using traditional trends in building apps.
Hopefully, the above-discussed points will help you come up with a development strategy that is more compatible with the requirements of modern users.
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