"What kind of application is a great application?" This question has troubled industry experts for a long time, and everyone has their own opinions, and there is still no conclusion until now. If we ask "What are the key factors for a successful mobile application development?", then the contribution of big data and data analysis is indelible. Every day, customers generate millions of bytes of data that are used by mobile application developers. Users not only need to understand their mobile experience and real-time scenarios in a timely manner, but also enjoy their services on multiple devices and provide sufficient support for their decision-making.
Using and understanding big data At present, the amount of data generated by users has exceeded PB level, and the amount of raw data or information has reached several ZB level, and is still growing. It is expected that the amount of data may reach YB level in the future. In fact, the amount of data created in the past is smaller than the amount of unstructured data generated today, so it is extremely valuable to transform this large amount of data into relevant information with the help of advanced analytics. In this article, we will focus on how big data can lay a solid foundation for mobile app development and how it can affect the marketing structure of enterprises. Make a customer-driven mobile app A good application must be easy to use, fast, bug-free, attractive, and most importantly, it must be able to meet the needs of users as much as possible. Therefore, by carefully analyzing customers using big data analysis, you can develop more usable applications that can truly meet customer needs. The best ideas for innovative and outstanding apps come primarily from user experience. By understanding the specific behaviors of customers when using an app and how they interact with it, mobile app developers can implement solutions that enhance existing apps and develop user-oriented concepts for new apps. Big data accelerates user experience analysis As mentioned earlier, app development requires a comprehensive analysis of customer experience. Big data summarizes the full details of user behavior and can integrate user experience into app development to point out vivid points. Then, the complete needs of users are conveyed by analyzing their collective behavior on the app. Mobile app developers can create new apps that are more in line with user ideas by analyzing the big data behind similar apps. For example, if a developer wants to create an app like health and fitness, he can analyze the top-rated apps such as Argus, Runkeeper, Fitstar Personal Trainer, etc. and understand the real needs of users. Then he can add innovative features such as pedometers and calorie counters to better serve target customers. A new era of marketing Business intelligence and big data make knowledge-based mobile applications possible, so some product personnel try to find links between email platforms and mobile applications, such as establishing Marketing Cloud Email Studio, Agile Data Information Platform, etc. The ability of mobile applications to leverage big data analytics is critical for companies targeting users at a professional level, delivering value from business analytics to operational intelligence to marketing. Apple uses supply chain management capabilities to drive its marketing advantage. Apple's mobile app developers can spend four days assembling any product into the supply chain. Although not all companies are like Apple, we can also make some efforts based on this:
As a result of the massive shift towards tablets and smartphones, the mobile app market is expected to exceed $100 billion by 2020. Therefore, developing better mobile apps is clearly the future of digital technology. Compared with computer applications, mobile applications are more volatile. They are easy to operate and are popular among users. Analyzing big data is the most effective way to obtain information equally, so companies should invest more in this aspect. As we have just seen, big data is very important for the development of future mobile applications. Analytics professionals find that by analyzing large amounts of unsorted data through new technologies, they will find many interesting new features in it and provide users with more ideal and memorable experiences. |
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