Some uses of data in higher education are given below.
Reducing Cost and Time of Analysis
Data analytics can be used to replace difficult and tedious operations, thus saving investment, time and resources. Processed data, presented in a usable format, is far easier, economical and faster to evaluate as opposed to conducting own surveys, questionnaires or primary research.
Utilizing Resources Efficiently
Applying data analytics to the Internet of things (IoT) can provide valuable insights into campus operations, leading to huge cost effectivities and efficiencies. For example, data collected from IoT-controlled environmental systems can reveal a lot about resource consumption, helping institutions to develop energy systems with greater efficiencies.
Understanding Student Behaviour
Data analytics can also provide insights into student utilization of services such as libraries, laboratories, help desks, co-curricular events, transportation, etc. Data technology can help institutions identify the profile of students who engage these services, when they do and how often. Based on this knowledge of student behavior, more efficient and student-oriented systems can be developed to monitor and manage facilities and services.
Finally, it is important to realize that data may spring up from everywhere, but only its effective use through technology will help create higher education institutions that are student-centered, efficient, competitive and sustainable.