Posted by Michael Morrison on December 10, 2015

Organizations in virtually every industry are beginning to invest more in advanced analytics technology, driven by the desire to leverage the massive volumes of information they currently generate, store and collect in more progressive strategies. Big data has completely revolutionized the ways in which decisions are made, helping leaders to understand trends more accurately, efficiently and insightfully than would have been possible in the days of paper filing systems.

Higher education and professional training industries are beginning to get on board with these types of programs, as the need for more valuable and efficient learning strategies has never been greater in the United States. A skills gap, talent shortage and record high of student debt are combining to make problems for the private sector and workforce population alike. With big data, many educational organizations are striving to eradicate at least some of these issues.

Big data learning
Smart Data Collective recently published a blog post from Sarah Smith regarding the rise of big data analytics in e-learning strategies, affirming that digital training is very well-suited to intelligence solutions given the information the platforms generate. This is not necessarily a trend that has solely sprouted up in higher education, though, as companies that leveraging e-learning platforms are also becoming more entrenched in metrics and analytics tools to improve upon their current training performances.

According to the author, e-learning has become a central aspect of professional development throughout the private sector due to its relatively low costs compared to trade school tuition and other alternatives, but is still somewhat new. This means that leaders have plenty of learning to do themselves, working to better understand what it takes to fuel high return on investment and strong performances. This is why big data has clear implications for e-learning management and evaluation.

E-learning performance can be boosted through analytics. E-learning performance can be boosted through analytics.

Smith noted that regardless of who might be going through the process of evaluating training investment performances – be it a teacher, corporate executive or otherwise – the use of analytics will inherently boost the accuracy of these procedures. In the coming years, companies and higher education facilities that have not yet begun to leverage analytics for their e-learning strategies should consider doing so, as the subsequent performance improvements can be vast.

Getting it right
Simply deploying a piece of big data software is not going to get the job done properly, as analytics demands a more comprehensive approach to management to be optimally effective. For example, firms will have to ensure that their standing information governance programs are adjusted to fit the demands of advanced analytics, and that their employees understand what needs to be done to fuel results in the platforms.

Data preparation and other backend technical matters can be more easily navigated with the help of a reliable managed service provider. Regardless of which industry the organization might be competing in, this support can be invaluable when deploying and optimizing an initial big data strategy.

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