Universities have to manage a huge amount of data and use cutting-edge digital tools to offer a satisfactory experience to their members. This brings about a huge IT backlog, which is traditionally hard to reduce. Low code can help with this.
Higher education institutes can optimize their digital transformation processes by using low-code platforms like Kuika.
Enrollment management is a resource-intensive process for universities, especially international ones. This not only increases their workload but also poses a problem for incoming students.
Managing the contracts of faculty members and dealing with onboarding ones take a lot of time, too.
So, higher education institutes have to deal with tedious tasks such as immigration processes, taxation, and inspecting necessary documents.
Universities can use low-code platforms to build apps that can automate student & HR management. By leveraging the power of low code, they no longer have to waste resources on easy but time-consuming tasks.
Staff and students at universities use a plethora of various tools for different purposes. This brings about a fragmented experience, which leads to issues in data integrity, and, so, productivity.
Universities can overcome this problem by building low-code solutions that can assemble different tools in a single place. Thus, students can be more engaged, and staff will have a smoother experience, which improves overall efficiency.
Building omnichannel solutions can also help with communication. Universities consist of a huge community of students, professors, and various sub-communities, after all. In order to keep everything smooth, healthy communication is indispensable.
With low code, you can easily build platforms where members of the university can ask their questions and give instant feedback about anything. By analyzing the data obtained, universities can better understand their members’ concerns and expectations, which allows them to take action where necessary.
Higher education platforms need to analyze their data to make sure everything is smooth and optimal. For example, they need to plan their course schedule in such a way that it can suit thousands of students and dozens of instructors.
Furthermore, when necessary, universities can act on the insights that their data provides. This allows them to always be one step ahead of problems that can arise out of the blue, thanks to predictive data analytics.
Adopting traditional techniques to handle these tasks is costly and time-consuming. Low code, on the other hand, is not. Universities can utilize low code to build AI-backed tools that can help them with predictive data analytics.
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