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Monday, 23 November 2020

Big Data Technology Helps Companies Understand Customers Better

Big data applications are ubiquitous now. Almost all websites and apps are tracking and recording user behavior for future analysis of user behavior. Big data technology includes data collection, sorting, analysis, and creation of user behavior patterns. Only in this way can big data be valuable to businesses. The development of big data applications lays the foundation for higher-level market research, product development, user acquisition, and marketing. 


The evolution and progress of big data technology

Collecting data is not a new concept. Earlier data is stored in in-house data storage units that require a large amount of physical space. These data are analyzed by RDBM and other database management systems and stored in the form of sequential tables and arrays. The current technology is no longer suitable for the data processing requirements. Huge data collected by new digital devices including computers, mobile devices, and the Internet of Things need to be optimized for further use. This has become a complex task.

With the emergence and gradual improvement of cloud technology, the storage and analysis of big data have changed. In the past, data collection and storage required a huge hardware system, which greatly increased costs and space, and restricted the further collection and sorting of data.   The cloud technology fundamentally solves this problem. In addition, cloud computing technology also makes data processing fast, accurate and simple. The use of cookies to collect data now doubles the number and functions of the collected data. By 2020, the global annual Internet traffic will reach 2.3 megabytes.

Smartphones enable geographic data synchronization, the development of new mobile apps, and the features of their geographic location have opened up the development of new dimensions of data.

This data includes data collected using mobile apps that track users. They enable business operations to enter new areas. These data can more effectively determine user behavior patterns. Location data can be used on Google Maps, travel websites and apps, and retail platforms, provide users with customized content to meet users' personalized needs.

Internet of Things devices promote the development of big data, and everything in our lives is digitizing. The various electrical appliances we use daily, such as TVs, washing machines, watches, fans, etc., are now smart devices that can be tracked. They are a huge source of user data, which is conducive to creating real-time behavior patterns. This is the key of big data analysis,  and these behaviors are widely used by companies.

Chatbots dominate the future of big data. Chatbots can communicate with multiple customers in real time, provide high customer participation and satisfaction, and can easily collect large amounts of data. Chatbots are becoming effective tool for many companies to collect big data.

Chatbots are increasingly used to analyze human mentality and recognize human emotions. In the process, they themselves become more intelligent. This mutually improved relationship, combined with artificial intelligence, can develop a user-centric and future-oriented system.

Conclusion


Mobile apps, social networks, web search, and Internet of Things devices are generating and collecting massive amounts of data at an unprecedented speed. The development of cloud technology, machine learning, artificial intelligence and other technologies will help companies process these big data in a few seconds, to help them make clear decisions, this will be the future trend of enterprises applying big data technology.


Source :

The Impact of Big Data In Business, Past and Future



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