People Up's Integration of Big Data Analytics

People Up with Big Data
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People Up with Big Data
Big data analytics is critical for businesses because it can differentiate them from other businesses and increase their general revenue. Global companies such as Twitter, Walmart, and LinkedIn are adopting big data analytics for better performance. Big data analysis helps organizations and companies to create products based on customer preferences and needs (Rajaraman, 2016). These aspects of the business help to increase its revenue and profit margins. Big data analytics in companies increases revenue by a 5-20% margin. With most sectors adopting big data technologies, the education sector is gradually warming up to using big data analytics. Big data can be applied in various fields in education management, such as decision-making (Vassakis et al., 2018). The technology will improve educational policies quality on different levels with teachers being able to identify specific students learning needs, making it easier to offer personalized teaching, enrollment management, teaching and research management, and employee management decisions.
In addition, big data analytics can be applied in managing teaching operations. The technology can be incorporated into course learning management, professional recommendation, and curriculum management. Moreover, big data analytics promotes the transformation of teaching assessment styles to accurate and quantitative evaluation from the normal macro evaluation, thus diversifying and conscientization of evaluation in education systems (Attaran et al., 2018). The previous study identified that students in self-learning under a big data environment are more likely to achieve efficiency in studying through practical ability. Furthermore, the technology can be applied to manage students’ autonomous learning. Big data platforms, including MOOCs and study management systems, can collect and store large amounts of data on human-computer interaction, performance information, learning behavior information, and individual information (Špakov et al., 2019). Also, it can provide an interactive stage where students review areas of improvement to promote self-growth and learning.
People Up educational institution in Singapore aims to incorporate big data analytics in its processes to maximize its revenues and minimize its expenditure. The institution aims to utilize three main types of big data to achieve its goals; movement tracker, AWS cloud computing, and flight intelligence system. Movement trackers have been readily adopted in the modern educational system to aid in identifying the special requirement of students by teachers. It enables tutors to differentiate between quick and slow learners and thus efficiently utilize resources to the advantage of low achievers (Moravčík et al., 2017). By incorporating this type of big data in its system, the People Up Institution will be able to minimize expenses on students who require less attention from tutors and concentrate their investment on other students who require more attention. The institution will also increase its revenues through parents paying more for their kids to be...