Cloud computing has now become mainstream in the higher education sector. Institutions across the board are deploying different versions of the cloud to minimize capital expenditure, reduce time to market, and boost flexibility and scalability, among other objectives. One emerging area of focus, with regard to cloud implementations, is helping education providers make better and quicker decisions based on data.
While the importance of analytics has traditionally been recognized in education services, its true potential is yet to be harnessed, in spite of institutions owning rich data sets. For a surprisingly long time, ensuring student success and retention were not determined so much by data-driven decisions as much as by factors related to other campus initiatives. The reasons could have been many – the presence of data silos across different departments, the absence of advanced analytics software, or the lack of skilled staff with time and resources to focus on analytics.
While data analytics has now become far more sophisticated and capable of offering predictive insights, it still remains out of reach for many colleges. The high costs involved in setting up the necessary infrastructure and data management practices on-premise represent a significant barrier to adoption. This is where cloud-based analytics solutions provide the best of both worlds –advanced insights at significantly lowercosts.
Apart from the ROI, there are quite a few other reasons why the cloud can facilitate superior analytics for education institutions:
It is no doubt the affordability and advantages of cloud analytics makes it an attractive solution, irrespective of an institution’s size or financial standing. With education providers seeking to track the student lifecycle for better outcomes, effective usage of cloud-based data mining tools can go a long way in helping institutions deliver what their students want.
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