How Does Data Analytics Increase Educational Institution Efficiency?

Does your institute generate tons of data every day? Are you worried about how to put it to good use? Are you not sure how data analytics is going to benefit your institute’s operations? Here are the answers you are searching for- 

The campus ERP makes use of AI technology to analyze loads of data generated by institutes every day. It increases your institute’s efficiency in the following ways- 

 BI Dashboards- 

The BI dashboard implemented in education ERPs helps the faculty members to get a graphical representation of the data and reports. This data is generated by the institute in several ways. It includes attendance records, student progress reports, subject-wise performance, fee payment status, online admission process, and others. 

The BI dashboards give representation in all the required formats such as tables, pie charts, trees, graphs, and others. It gives an accurate representation of the data and showcases various parameters at the same time. It enables the users to make comparisons between two related points and understand the performance of various methods and feedback more easily. 

They do not have to go through tons of data to get an idea of what the data is trying to convey. It majorly helps the investors and upper management people of institutes. Further, the teachers get a fair idea about students’ behavior, problems faced by them in the classroom, and subjects and enable them to guide the students better. 

Data-Driven Decisions- 

Data analytics in education ERP helps the institutes to make decisions based on the data and reports that are generated automatically by the system. It gives an idea about the student’s behavior, parent’s response, surveys, and other responses of various individuals. The data helps the system to make all decisions as to what is the best possible solution as per previous records given by the data. 

Moreover, it helps the investors to make sound decisions based on which department of the institute requires how much budget, or how much amount is to be invested in new technologies, lab facilities, equipment, and other aspects of the institute. Further, infrastructure development and requirements of advanced technologies are also a part of the institute’s investments which are taken care of by the investors. 

Projection of Progress-

The institutes can understand the progress of previous years from the data that is collected in their campus ERP. They can decide how much investment can lead to how much growth by analyzing the trends from previous years. Further, the data reports in education ERPs help the institutes to take calculated risks and predict their outcomes in terms of new educational methods or investments in new equipment and infrastructure. 

All the information is used for improving the institute’s functioning and helping the students enhance their learning outcomes. Moreover, adding new courses, out-of-trend subjects, and topics are also analyzed using the data analysis software. 

Enhances Student Performance- 

The data analysis software enables teachers to understand students’ performance in various ways. It gives them information about the student’s performance in every exam and every subject. It helps them analyze the topics and subjects in which the students are facing problems majorly. Further, students’ progress over the past years is also shown graphically. 

The teachers can track the progress of individual students and help them to take necessary actions to improve their performance. Further, the teachers can guide the students in difficult subjects and topics as per their performance reports and improve learning outcomes in the long term. Students’ feedback on lectures, exams, teaching styles, and other aspects are also analyzed and considered by the faculty. 

Conclusion-

Using AI technology for data analysis improves the institute’s performance in all aspects of education. It includes online admission, proctoring, examination, fee payment, and others. The software uses Machine learning technology to learn student and user behavior and improve the system’s performance over time. 

 

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